KR20110052762A - Decision support system and method for a forest management based on a heuristic method - Google Patents

Abstract

PURPOSE: A forest management decision-making support system and method thereof which uses a heuristic method and capable of extracting an optimal forest industry target place through a heuristic method are provided to easily process an optimal business selection by applying a heuristic algorithm. CONSTITUTION: A forest database(700) offers forest information of a subject area about a particular business type. A user terminal(500) receives forest information from the forest database. The user terminal selects the kind of forest businesses based on the forest information. The user terminal derives an optimal target which optimally satisfies a certain target and a constraint condition according to a heuristic algorithm.

Description

Decision support system And method For a forest management based on a Heuristic method

The present invention relates to a forest management decision support system, and to a forest management decision support system and method using a heuristic technique to extract an optimal forest project site through a heuristic technique.

Recently, forest management modeling is becoming more and more complex, with diversifying goals of forest management and considering spatial factors in forest management. For example, the city (local government) currently operates a long-term forest plan considering local characteristics. In order to establish a long-term forest plan, analysis of local forest resource information, location, and environmental information is generally required. It is required to utilize various GIS data such as map, digital location map, and digital map. In addition, establishing long-term forest plans, such as collecting opinions from local residents and reflecting other relevant regional plans, requires the implementation of a very complex and extensive task. In addition, according to the long-term forest plan, the forest management manager at the site establishes a forest project plan every 10 years or every year, which may include budget allocation, project site selection, and project volume. However, the conventional forest management modeling has been limited in dealing with the complex and various management goals or spatial constraints as described above because the linear planning method and the water purification planning method are mainly applied.

Accordingly, there is a demand for modeling proposals that can apply various management goals and spatial constraints in forest management modeling.

Accordingly, an object of the present invention is to provide a forest management decision support system and method using a heuristic technique that can efficiently handle complex administrative tasks based on a heuristic technique suitable for considering spatial factors. have.

In order to achieve the above object, the present invention provides a forest management decision support system using a heuristic technique including a user terminal and a forest database. The forest database provides forest information of target sites for a particular business type. The user terminal receives forest information from the forest database, selects a business type for a forest business based on the forest information, and then optimally meets certain targets and constraints among all target sites having the selected business type. Is derived according to the heuristic technique. In addition, the user terminal supports to output the derived optimal destination based on the GIS.

The present invention also comprises the steps of selecting a business type for the forest project, detecting a projectable area that meets a predetermined condition for the execution of the business type of the entire target site, conditions set in accordance with the application of the heuristic technique among the projectable areas It provides a forest management decision support method using a heuristic technique, comprising detecting an optimal target that satisfies the best.

Specifically, the step of detecting the optimal target site of the present invention includes creating alternatives based on the projectable regions, and deriving a projected cost and potential capacity for management activities of the target site as target function values for the alternatives. Generating a post-security by comparing a target function value of the alternatives, and deriving an optimal solution from the post-security.

The present invention provides a method for determining whether the after-security corresponds to the other search condition when the specific after-security is not optimal, and storing the current after-the-second security when the specific after-security does not meet the other search condition. If it satisfies this other search condition, it provides a step of detecting an optimal destination comprising selecting a new post-security from the alternatives.

According to the present invention, the present invention can efficiently handle the complex administrative tasks required for the execution of forestry projects. In particular, the forest management decision support system and method of the present invention enables the city and village personnel to easily handle the business site selection tasks, and by applying a heuristic algorithm, it is easy to select the optimal business site considering the budget and the amount of business. Can be processed. In addition, the present invention can effectively manage and use the existing forest business history database.

Hereinafter, with reference to the accompanying drawings will be described in detail an embodiment of the present invention.

Forest Management Decision Support System Using Heuristic Technique

1 is a view schematically showing the configuration of a forest management decision support system according to an embodiment of the present invention.

1 and 2, the forest management decision support system of the present invention may include a user terminal 500, the Internet 600, and a forest database 700.

In the forest management decision support system of the present invention having such a configuration, a user using the user terminal 500 can access the forest database 700 through the Internet 600, and various forests from the forest database 700. It may be controlled to receive the information stored in the user terminal 500. In addition, the user may apply a heuristic technique to the forest information obtained using the user terminal 500 to derive an optimal forest project target site that satisfies specific management goals and constraints. Hereinafter, each configuration will be described in more detail.

The Internet 600 is configured to form a communication channel connecting the user terminal 500 and the forest database 700. The Internet 600 may transmit the information request message of the user terminal 500 to the forest database 700, and transmit the information requested by the user terminal 500 from the forest database 700 to the user terminal 500. . Although the present invention describes the Internet as a communication configuration connecting the user terminal 500 and the forest database 700, the present invention is not limited thereto. That is, the communication configuration of the present invention may include not only the Internet 600 but also various communication network configurations such as intranet and wireless communication. Therefore, the Internet 600 of the present invention will be understood as a configuration for performing the information transfer role between the user terminal 500 and the forest database 700.

The forest database 700 is configured to store various forest information. Although the forest database 700 of the present invention is shown as one configuration connected to the Internet 600, the forest database 700 of the present invention should be understood as a configuration including many forest related databases. In fact, forest information related to forests can be stored by governments, national departments, etc. as well as provinces, cities, and counties. Accordingly, the forest database 700 should be understood as a database encompassing the various forest information described above. The forest information may include region and tree information based on the GIS. Forest information also includes a variety of information related to the area where trees exist, such as rivers, roads, mountain heights, distances to urban areas, for example, in the form of GIS-based neighborhoods in areas where specific forests exist. can do.

The user terminal 500 may include a communication terminal, a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), a PC, and the like. The user terminal 500 is configured to access the forest database 700 through the Internet 600, receives and stores forest information from the forest database 700, and applies a heuristic technique to the stored forest information. It derives and outputs the optimum target that satisfies specific management goals and constraints. To this end, the user terminal 500 may configure the communication unit 510, the input unit 520, the external interface 530, the display unit 540, the storage unit 550, and the controller 560 as shown in FIG. 2. It may include.

The communication unit 510 may be a modem that can communicate with the Internet 600. As described above, since the Internet 600 may include various types of communication configurations, the communication unit 510 may be various communication modules according to a communication type for communicating with the Internet 600. For example, the communication unit 510 may use at least one of a mobile communication network, a WiBro (Wireless Broadband) network, a high-speed downlink packet access (HSDPA) network, a satellite communication network, a local area wireless communication network, a wired Internet network, and an intranet network. Can be.

The input unit 520 provides a plurality of keys for operating the user terminal 500, and generates and transmits a selection signal according to a user's key selection to the control unit 560. The user may access the Internet 600 through the input unit 520, access the forest database 700, and generate an input signal for requesting forest information from the forest database 700. The input signal generated by the user may include at least one of a mouse manipulation signal, a key selection signal of a keyboard, a touch signal, or a voice signal. To this end, the input unit 520 may be formed of at least one of a joystick, a trackball, a keyboard, a mouse, a keypad, a touch pad, and a touch screen. In particular, the input unit 520 may generate an input signal for deriving an optimal destination from the forest information according to a user's operation, and transmit the input signal to the controller 560.

The external interface 530 is a configuration for supporting an external device, such as a printer, of the user terminal 500 can be coupled. Accordingly, the user may connect the printer to the external interface 530, derive the optimal target land derived according to the heuristic technique from the forest information, and print it to be viewed based on the GIS.

The display unit 540 displays information stored in the storage unit 550 including various function menus executed in the user terminal 500. The display unit 540 may output an Internet 600 connection screen, a forest database 700 connection screen, an information request screen, a requested information reception screen, a screen for outputting received information, and the like under the control of the controller 560. have. In addition, the display unit 540 may output information on the optimum target site when the optimal target site extraction is performed by applying a heuristic technique to the forest information stored in the storage unit 550. The display unit 540 may be a liquid crystal display (LCD), an organic light emitting diode (OLED), or the like, and may be configured as a touch screen on which a touch panel is placed. The display unit 540 implemented as a touch screen may simultaneously serve as a display device and an input device.

In particular, the display unit 540 of the present invention can provide a user interface for using the forest management decision support service of the present invention as shown in FIG. The illustrated figure may correspond to an initial screen that may be output when a program for activating a forest management decision support service is activated. The user interface may output, according to a user input, projectable areas corresponding to a predetermined condition among all target sites, which will be described later. In addition, the user interface is the species, class, small density, status, accumulation, afforestation year, existing forest planting enforcement year, start-up restrictions for the above-mentioned certain conditions, for example, when the entire target site is divided into a plate having a certain area It can provide an item for setting whether or not. Then, the user may set the conditions arbitrarily selected from the above-described predetermined conditions to have a specific value. Then, the projectable area search processor may control to search the target areas that meet the above-mentioned conditions among all the target sites as the projectable area and output the same to the display unit 540.

On the other hand, the display unit 540 may provide input items necessary for the execution of the optimum destination selection unit to the user interface. Then, the user can adjust the input of the management goal and the constraint value using the user interface to select the optimal target of the desired condition. The optimum destination selected by the optimum destination selection unit may be output through the user interface.

The storage unit 550 stores a program necessary for controlling the operation of the user terminal 500 and data generated while the program is executed, and includes one or more volatile memory devices and nonvolatile memory devices. The storage unit 13 stores an execution program for providing a forest management decision support service, and the execution program satisfies specific management goals and constraints by applying a heuristic technique to the forest information received from the forest database 700. Optimal derivation of the target site can be performed. For example, the storage unit 550 may include an access program that supports storage and retrieval of forest information for forest management decision support service support, a map object program for outputting and managing GIS drawings, and comparison of conditions of forest information. A program that performs operations for deriving optimal destinations can be stored.

The controller 560 controls the power supply of each component of the user terminal 500 described above, and controls the initialization process of each component. The controller 560 may control the connection to the Internet 600 according to an input signal generated from the input unit 520, and may process a process necessary for accessing the forest database 700 according to the input signal of the input unit 520. For example, when the forest database 700 administrator allows only authorized personnel to access the database, the user may input an ID and password necessary for authentication, and the controller 560 may provide authentication information related to the ID and password. May be sent to the forest database 700 for approval. Thereafter, the controller 560 controls to transmit the information request message requested by the user to the forest database 700, receives forest information corresponding to the information request message from the forest database 700, and stores the forest information corresponding to the information request message in the storage unit 550. Can be controlled. In addition, the controller 560 controls to derive an optimal forest project destination that satisfies specific management goals and constraints by applying a heuristic technique to forest information according to user control, and outputs the result to the display unit 540. can do.

To this end, the control unit 560 may include a data input processor, a business area search processor, an optimal target site selector, and a GIS output processor.

The data input processing unit is a processing unit for converting various data included in forest information received from the forest database 700 into a database, and supports file unit input and field unit input. In this case, the forest information may be stored in an Excel file, and the forest information may include target location information on an area including a forest of a predetermined form. The target site information includes information such as forest resource status, forest management history, and forest management history of each forest area. The data input processing unit manages the destination information related to the entire destination, and DBs the information into subdivisions (or district numbers) divided into predetermined areas with respect to the entire destination.

In order to increase the efficiency of the optimization modeling, the projectable area search processing unit is configured to search for a projectable area candidate group that satisfies a certain condition among all the target sites in consideration of other constraints except spatial constraints before the optimization modeling. As mentioned above, a wide variety of criteria and constraints should be considered in selecting the target of the forest project. When using the optimization modeling with the heuristic technique, it takes considerable time to consider all the various criteria and conditions described above. The problem may occur. Accordingly, the control unit 560 of the present invention may support the selection of target sites that satisfy certain conditions among all target sites as a projectable area based on the projectable area search processor. For example, in order to set constraints as shown in Table 1 below, and to search for a projectable region that satisfies the constraints, the projectable region search processing unit may be configured from a DB of all target sites stored in the storage unit 550. Investigate the species, salary, small density, status, accumulation, afforestation year, existing forest planting practice year, and whether or not there is a restriction of each group. Herein, when the user inputs information for searching as a business area among the above-described total target sites, the controller 560 may select a target site that satisfies the information. That is, when the user inputs certain conditions for the business area in the user interface for the forest management decision support service, the business area search processing unit searches for the business area that satisfies the predetermined conditions entered by the user in all the target sites. can do. As an example of certain conditions, the present invention may apply the conditions shown in Table 1 below.

division Forest cultivation Thinning and punishment Sustainable Business Excludes restricted areas such as preservation forests.
Existing forest business.
The death age is consistent with the forest planting enforcement year Excludes restricted areas such as preservation forests.
Standard foresting business place.
The death age is consistent with the thinning enforcement year New business Excludes business restrictions such as preservation forest
Salary is less than III or IV
Densely populated areas Excludes business restrictions such as preservation forest
The salary is at least III or IV.
Densely populated areas
Good growth (more than 80% of harvest table)

The optimal target site selector performs optimization modeling by applying a Tabu search that supports diversity of solutions by increasing the probability of selecting similar optimal solutions by prohibiting iteratively selecting alternatives that have already been selected among the heuristic algorithms. It is a constitution. The optimal site selection unit supports the input of management goals and constraints through the user interface described above. When the management targets and constraints are input, the optimum target site selecting unit selects an optimal business target that satisfies the input management targets and constraints. In this case, the optimal target site selection unit calculates the area, accumulation, species, average diameter, number of trees, slope, and adjacency of each plate from the DB stored in the storage unit 550 to calculate the target function and check the constraints of the alternatives created in the optimization process. Road distance, function classification, etc. can be inquired. For example, a user who will use the forest management decision support service may select the management objectives and constraints of afforestation and forest planting projects as follows. In other words, the management goal is to select a business site that has good accessibility from adjacent roads and minimizes deviations from a given business budget.The business period is one year for a total of ten quarters (10 years). As a result, the project site, area and cost of each project cycle, and average distance from the road can be determined.

Then, the optimum destination selection unit may extract the minimum value of "Z" using the target function 1 shown in Equation 1 below.

 Where Cij is the business cost in the business quarters i and j, j is the business budget, Dij is the distance between adjacent business quarters j and i, i is the index of the board selected as the business destination, and j is the index of the business quarter. (j = 1, ..., 10), α can be a weight for the deviation between the project cost and the budget, β can be a weight for the sum of the distance to the adjacent road.

In addition, the users of the forest management decision support service can determine the management goals and constraints of thinning and juvenile projects as follows. In other words, the management targets of thinning and juveniles are selected to select the project site to minimize the deviation from the target harvest and minimize the cost of harvesting, and the constraints are the limited area of open areas and the minimum distance of open areas. The project period can be selected for a total of 10 quarters (10 years) with one year as the business quarter. And as the main result, it is possible to select the project site, project area and logging amount, and project cost for each business cycle.

Then, the optimal target site selection unit may extract the minimum value of "Z" using the target function 2 shown in Equation 2 below.

Where Vij is the harvested amount in business quarter i and plaque j, T is the target yield, Wij is the cost of logging in business quarter j and plaque i, I is the index of the board selected as the business site, and j is the index of business quarter ( j = 1, ..., 10), α can be a weight for the deviation between the harvest and the target harvest, β can be a weight for the total cost of logging.

As described above, the optimum site selection unit of the present invention derives the capacities for investment costs and road accessibility of the target site in the reforestation and forestry projects based on the target function 1 described above, and also based on the target function 2. In carrying out thinning and judging projects, investment costs and production potentials of the target sites can be derived. The optimal target site selection unit may support the selection of the optimum target site by substituting the forest function for the projectable areas detected by the projectable area search processing unit into the target function and comparing the result values.

The GIS output processor is configured to output the optimal target site selected by the optimal target site selection unit to the display unit 540 so that the user can easily identify the optimal target site. In this case, the GIS output processing unit may show where the optimal target is located based on the GIS that the user can easily identify the optimal target selected as the business target. At this time, the GIS output processing unit may output the location of the optimum destination to the display unit 540 based on the map information according to a user's request, and may support the printing of the result through a printer connected to the external interface 530. Can be.

The forest management decision support system of the present invention as described above enables the city and village personnel to easily handle the business site selection task, and in particular, by applying the heuristic technique, the optimal business site considering the budget and the amount of the project is presented. can do. In addition, the forest management decision support system of the present invention may further include a DB management module that can effectively manage the forest business history DB previously operated. Therefore, the system of the present invention can support decision making by interworking with a forest-related database system currently operating on an intranet or an individual operating system.

In the above, the configuration of the forest management decision support system according to the embodiment of the present invention and the role and function of each configuration have been described. Hereinafter, a forest management decision support method that can be performed based on the forest management decision support system will be described in more detail with reference to the accompanying drawings.

Forest Management Decision Support Method Using Heuristic Technique

4 is a view for explaining a forest management decision support method using a heuristic technique according to an embodiment of the present invention.

1, 2 and 4, the forest management decision support method of the present invention, first, in step 100, the control unit 560 of the user terminal 500 selects a business type according to the user input. To this end, the user terminal 500 may output information on various business types through a user interface so that a user can select information on a specific business type. The user will then be able to select the type of business he wishes to do business using the user interface. In this case, the user terminal 500 outputs only the types of the business types included in the forest information received from the forest database 700 to the display unit 540 through the user interface, and also transfers the previous business targets of the selected business type. It may be detected in the forest information received from the forest database 700.

Next, the user terminal 500 may perform a business feasibility area search for searching whether there is an area where business is possible among all the target sites based on the business type selected in step 200. To this end, as described above, the user terminal 500 may support a condition input for searching for a business area. That is, in the case where all the target sites are divided into plaques having a certain area, the user terminal 500 may set the species, salary, small density, status, accumulation, afforestation year, existing forest gardening enforcement year, and limit of start-up. You can provide an item. The user can then select specific items from the above-described items through the user interface. Then, the user terminal may search for business areas that meet the conditions and derive business areas based on the search results. If the user does not input a specific condition, the user terminal 500 may assign a predetermined condition value to the corresponding items and perform a search for a business area based thereon. In this case, the condition values input by default may be experimentally obtained values or conditions obtained from a database separately established as a business area for a specific business type. A detailed description of such a business area search will be described later with reference to FIG. 5.

When the business area is derived, the user terminal 500 performs an optimal target site search in step 300. In this case, the user terminal 500 may support the user to input items indicated by the variables of the target function 1 and the target function 2 described above. When there is no separate input by the user, the user terminal 500 may input each variable value set as a default, and support to perform an optimal target search according to the result value. A detailed description of the optimum target location search will be described later with reference to FIG. 6.

When the selection of the optimum destination is completed, the user terminal 500 outputs the optimum destination in step 400. That is, the user terminal 500 may output the forest information including the GIS information to the display unit 540 or transmit the printed information about the optimum destination.

FIG. 5 is a flow chart for describing step 200 of FIG. 4 in more detail.

Prior to the description, the management unit described below refers to the management unit of the target site considered by the user who uses the forest management decision support service, and may include at least one plate or branch divided into a predetermined area. That is, the management unit may be a unit including at least one plate when the entire target area is divided into platelets.

1, 2 and 5, in the business feasibility area search method of the present invention, first, in step 201, the control unit 560 of the user terminal 500 retrieves forest resource information and business history information for each management unit. Perform To this end, the controller 560 may query forest information stored in the storage 550 or access the forest database 700 to perform information inquiry of a target location corresponding to a corresponding management unit.

Next, the controller 560 checks whether the management unit inquired in step 203 is a business restriction. Since the project restrictions can be changed according to national policy, it is necessary to check whether information on the project restrictions for the year has been updated.

When the management unit inquired in step 203 is classified as a business restriction, the controller 560 determines whether the management unit classified as the business restriction in operation 205 is the last management unit in a state in which all the target areas are classified as management units. do. In addition, if the corresponding management unit is the last management unit, the controller 560 completes a search for a business area and enters step 300.

On the other hand, if the management unit inquired in step 203 is not the business restrictions, the control unit 560 branches to step 207 to determine whether the target site divided by the management unit is the existing forest gardening business execution site. In this case, when the target unit of the management unit is the existing forest gardening project execution site (Yes in step 207), the control unit 560 enters step 209 and classifies the target site corresponding to the inquired management unit as a sustainable project. In addition, if the target unit of the management unit is not an existing forest gardening project execution site (No in step 207), the controller 560 enters step 211 and classifies the target site corresponding to the inquired management unit as a new business.

Next, the controller 560 checks whether or not to select a target site corresponding to a management unit classified as a sustainable business or a new business as a business possibility site in step 213. In this case, the controller 560 may control to check whether the target site for each management unit satisfies the predetermined condition set for the projectable region selection described above with respect to the selection of the projectable region. In addition, when the user arbitrarily generates an input signal for selecting a target area for a specific management unit as a business area, the controller 560 may select the target area selected as a business area according to the input signal.

Accordingly, when the target site of the management unit is selected as the business site in step 213, the control unit 560 branches to step 215 and controls to store the target site classified as the business area in the target site DB. If the target unit of the management unit is not selected as a business location in step 213, the control unit 560 branches to step 205 to check whether the management unit is the last management unit, and proceeds to step 201 depending on whether the management unit is the last management unit. It may return or branch to 300 steps.

FIG. 6 is a flowchart for explaining the operation 300 of FIG. 4 in more detail.

1, 2 and 6, in the method for searching for an optimal destination of the present invention, first, when the controller 560 of the user terminal 500 selects a projectable area in response to a user request, the user terminal 500 In step 301, the target DB is stored. As described above, the destination DB stores information on the destinations selected as possible projects.

Next, when the target DB is confirmed, the controller 560 of the user terminal 500 may perform alternative writing according to a user input or a preset schedule. In operation 303, the user terminal 500 checks target function values and constraints for the alternatives. Herein, the control unit 560 of the user terminal 500 checks a target function value and a constraint for each of a plurality of alternatives and generates a post-security based on the result.

In step 307, the user terminal 500 searches for post-security and controls to select a specific post-security. In operation 309, the user terminal 500 determines whether a particular post-security is an optimal solution, that is, an optimal destination. If the particular post-security is the optimal solution, the user terminal 500 may branch to step 311 to update information on the optimal solution. In this case, the user terminal 500 may control to remove the previous information and rewrite the current information when there is information stored previously determined as the best option for the specific candidate. In addition, the user terminal 500 controls to write the current information optimally when there is no previous stored information. Thereafter, the user terminal 500 may branch to step 315 and control to store the updated optimal eye as the current eye.

On the other hand, if the specific after-security does not meet the optimal conditions in step 309, the user terminal 500 branches to step 313 to check whether the after-security is a Tabu solution that has already been selected in step 303, If the post-security is another solution, the user terminal 500 branches to step 307 and supports searching for another post-security. If the specific after-security is not the other solution in step 313, the control branches to step 315 to store the post-security in the current proposal.

Next, the user terminal 500 adjusts the list of other parts based on the security after the update in step 317, and then branches to step 319 to confirm whether the flow is terminated. In this case, the user terminal 500 controls to select another alternative in step 303 when an optimal target location check is needed for the additional alternative. Thereafter, the user terminal 500 may repeatedly perform the following process. If the flow meets the end condition in step 319, that is, when the number of repetitions input by the user reaches the user terminal 500, the user terminal 500 may end the process of selecting the optimal destination and then branch to 400.

As described above, the forest management decision support system and method according to an embodiment of the present invention provides a method and system for decision support of field forest managers by using a DB managed by an existing information system. It can contribute to increase the versatility, scalability and usability.

On the other hand, the embodiments of the present invention disclosed in the specification and drawings are merely presented specific examples for clarity and are not intended to limit the scope of the present invention. It is apparent to those skilled in the art that other modifications based on the technical idea of the present invention can be carried out in addition to the embodiments disclosed herein.

1 is a view schematically showing the configuration of a forest management decision support system according to an embodiment of the present invention.

FIG. 2 is a block diagram illustrating the configuration of the user terminal of FIG. 1 in more detail.

3 is a diagram illustrating an example of a user interface of the present invention.

Figure 4 is a flow chart illustrating a forest management decision support method according to an embodiment of the present invention.

5 is a flowchart illustrating step 200 of FIG. 4 in more detail.

6 is a flowchart illustrating step 300 of FIG. 4 in more detail.

Description of the Related Art [0002]

500: user terminal

600: Internet

700: Forest Database

Claims (15)

A forest database providing forest information of target sites for a particular business type; Receive forest information from the forest database, select a business type for the forest business based on the forest information, and then, among the total target sites having the selected business type, the target site that satisfies certain targets and constraints according to the heuristic technique. Deriving user terminal; Forest management decision support system using a heuristic technique, characterized in that it comprises a. The method of claim 1, An internet for supporting information transmission between the forest database and the user terminal; Forest management decision support system using a heuristic technique, characterized in that it further comprises. The method of claim 1, The user terminal A storage unit for storing the forest information; An input unit generating an input signal for accessing the forest database and receiving and storing the forest information, and generating an input signal for inputting a predetermined condition; A controller for selecting an optimal target site based on forest information stored in the storage unit and the predetermined condition according to the input signal generated from the input unit; Forest management decision support system using a heuristic technique, characterized in that it comprises a. The method of claim 3, The control unit A data input processing unit for classifying the entire target site by a predetermined management unit and processing input of forest information of each target site divided by each management unit; A projectable area search processor that detects a projectable area that meets a predetermined condition among all the target sites; An optimal destination selection unit for detecting an optimal destination that satisfies a condition set according to the application of a heuristic technique among the projectable areas; Forest management decision support system using a heuristic technique, characterized in that it comprises a. The method of claim 4, wherein The control unit A GIS output processor for controlling to output the optimal target based on a GIS; Forest management decision support system using a heuristic technique, characterized in that it further comprises. Selecting a business type for the forest business; Detecting forest areas including the selected specific business types as all the target sites; Detecting a projectable area meeting a predetermined condition among all the target sites; Detecting an optimal target site among the projectable areas that satisfies a condition set according to the application of a heuristic technique; Heuristic forest management decision support method comprising a. The method of claim 6, Detecting the business area Excluding business restrictions from all the target sites; Checking the predetermined condition with respect to all the target sites except for the business restriction site; Heuristic forest management decision support method comprising a. The method of claim 7, wherein Inspecting the predetermined condition In the case where the entire target land is divided into plaques having a certain area, it is a step of checking whether the conditions including the species, salary, small density, status, accumulation, afforestation year, and the existing forest planting year of the plaques correspond to a predetermined condition. Heuristic Forest Management Decision Support Method. The method of claim 6, Detecting the optimal destination Heuristic forest management decision support method characterized in that the step of selecting a target site that satisfies the set conditions, including the limited budget, the forest resources status of the target site and the geographic and geographic conditions among the projectable areas. The method of claim 6, Detecting the optimal destination Creating alternatives based on the projectable regions; For the above alternatives, the first target function value for deriving the capacities of the investment cost and the potential cost of the target site, and the second goal for deriving the capacities to be obtained through investment except for the costs incurred in forest management. Calculating a function value; Generating post-security including the target function values and set constraints; Deriving an optimal solution from the post-security; Heuristic forest management decision support method comprising a. The method of claim 10, Deriving the optimal solution Determining whether the after-security satisfies other search conditions when the specific after-security is not optimal; If the specific after-security does not meet other search conditions, storing the current proposal; Heuristic forest management decision support method comprising a. The method of claim 10, Deriving the optimal solution Determining whether the after-security satisfies other search conditions when the specific after-security is not optimal; Selecting a new after-security if the specific after-security meets other search conditions and checking whether the newly selected after-security is optimal; Heuristic forest management decision support method comprising a. The method of claim 6, Outputting the optimal destination to a display unit or an external device; Heuristic forest management decision support method comprising a. The method of claim 13, The outputting step Heuristic forest management decision support method characterized in that the output of the optimum target based on GIS. The method of claim 6, Computing the amount of business for the target site selected as the optimal target site; heuristic forest management decision support method further comprising.

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