CN112434778A - Artificial intelligence optimization method based on ant algorithm - Google Patents
Artificial intelligence optimization method based on ant algorithm Download PDFInfo
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- CN112434778A CN112434778A CN202011332788.8A CN202011332788A CN112434778A CN 112434778 A CN112434778 A CN 112434778A CN 202011332788 A CN202011332788 A CN 202011332788A CN 112434778 A CN112434778 A CN 112434778A
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
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Abstract
The invention belongs to the technical field of artificial intelligence, and particularly relates to an artificial intelligence optimization method based on an ant algorithm, which comprises the following steps: the method comprises the following steps: instruction input, inputting a control instruction to artificial intelligence; step two: selecting a simulation processing mode; step three: performing simulation of a treatment mode, wherein the simulation is divided into four treatment modes, namely a first treatment mode, namely, firstly performing left-to-right treatment, firstly performing up-to-down treatment, a second treatment mode, firstly performing right-to-back left treatment, firstly performing up-to-down treatment, a third treatment mode, firstly performing left-to-right treatment, firstly performing down-to-up treatment, and a fourth treatment mode, firstly performing right-to-left treatment, and firstly performing down-to-up treatment; step four: summarizing results of different processing modes; the ant algorithm can be utilized to screen out the optimal execution mode, when special mode requirements exist, the related processing mode is selected manually, manual selection is set as the optimal option, the processing mode of intelligent screening is prevented from being inconsistent with the processing mode of manual requirements, the processing mode of artificial intelligence is enabled to be more humanized, and the actual requirements of users are met.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence optimization method based on an ant algorithm.
Background
Artificial intelligence (ArtificialIntelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, speech recognition, image recognition, natural language processing, and expert systems.
The ant colony algorithm is a probabilistic algorithm for finding an optimized path. It was proposed by marco Dorigo in 1992 in his doctor's paper, and its inspiration came from the behavior of ants finding a path in finding food. The algorithm has the characteristics of distribution calculation, information positive feedback and heuristic search, and is essentially a heuristic global optimization algorithm in an evolutionary algorithm.
Along with the rapid development of the mobile internet, the realization of mechanical operation and relevant action instructions of a robot by utilizing artificial intelligence becomes a great application of the current artificial intelligence, at present, when the artificial intelligence is adopted for control, the execution of the relevant action has certain difference with the actual requirement of a user, and how to make the execution mode of the artificial intelligence more fit with the actual requirement of the user is the main problem of the optimization of the current artificial intelligence.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The invention is provided in view of the above and/or the problems existing in the existing artificial intelligence optimization method based on the ant algorithm.
Therefore, the invention aims to provide an artificial intelligence optimization method based on an ant algorithm, which can screen out an optimal execution mode by using the ant algorithm, utilize manual selection of related processing modes when special mode requirements exist, and set the manual selection as an optimal option, so that the processing mode of intelligent screening is prevented from being inconsistent with the processing mode of manual requirements, the processing mode of artificial intelligence is more humanized, and the actual requirements of users are met.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
an artificial intelligence optimization method based on an ant algorithm comprises the following steps:
the method comprises the following steps: instruction input, inputting a control instruction to artificial intelligence;
step two: selecting a simulation processing mode;
step three: performing simulation of a treatment mode, wherein the simulation is divided into four treatment modes, namely a first treatment mode, namely, firstly performing left-to-right treatment, firstly performing up-to-down treatment, a second treatment mode, firstly performing right-to-back left treatment, firstly performing up-to-down treatment, a third treatment mode, firstly performing left-to-right treatment, firstly performing down-to-up treatment, and a fourth treatment mode, firstly performing right-to-left treatment, and firstly performing down-to-up treatment;
step four: summarizing results of different processing modes;
step five: manual monitoring and screening, namely, manually monitoring, selecting a relevant processing mode manually when a special mode requirement exists, and directly outputting when no special mode requirement exists;
step six: intelligent memory screening, namely screening an optimal processing mode by utilizing an ant algorithm and outputting, wherein when the processing mode screened intelligently is different from the processing mode screened manually, the processing mode screened intelligently is the most optimal output, and recording is carried out, and when the processing mode is not selected manually, the processing mode screened intelligently is directly output;
step seven: outputting the instruction, namely outputting the instruction information and the processing mode after relevant screening as the most preferable mode;
step eight: and executing the instruction according to the selected processing mode.
As a preferred scheme of the artificial intelligence optimization method based on the ant algorithm, the method comprises the following steps: and in the third step, a processing process of a first processing mode, a second processing mode, a third processing mode and a fourth processing mode is simulated in sequence by using a delay relay.
As a preferred scheme of the artificial intelligence optimization method based on the ant algorithm, the method comprises the following steps: and in the sixth step, a data storage module is used for storing and memorizing.
As a preferred scheme of the artificial intelligence optimization method based on the ant algorithm, the method comprises the following steps: and seventhly, when the instruction is output, the adopted processing mode is displayed by matching with the indicator light and the loudspeaker.
Compared with the prior art: the ant algorithm can be used for screening out the optimal execution mode, when special mode requirements exist, the related processing mode is selected manually, the manual selection is set as the optimal option, the situation that the processing mode of intelligent screening is not accordant with the processing mode of manual requirements is avoided, the artificial intelligent processing mode is more humanized, and the actual requirements of users are met.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein for convenience of illustration, the cross-sectional view of the device structure is not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides an artificial intelligence optimization method based on ant algorithm, which utilizes the ant algorithm to screen out an optimal execution mode, utilizes manual selection of relevant processing modes when special mode requirements exist, sets the manual selection as the most preferred item, avoids the processing mode of intelligent screening not conforming to the processing mode of manual requirements, makes the processing mode of artificial intelligence more humanized, conforms to the actual requirements of users, and please refer to fig. 1, which comprises the following steps: the method comprises the following steps:
the method comprises the following steps: instruction input, inputting a control instruction to artificial intelligence;
step two: selecting a simulation processing mode;
step three: performing simulation of a treatment mode, wherein the simulation is divided into four treatment modes, namely a first treatment mode, namely, firstly performing left-to-right treatment, firstly performing up-to-down treatment, a second treatment mode, firstly performing right-to-back left treatment, firstly performing up-to-down treatment, a third treatment mode, firstly performing left-to-right treatment, firstly performing down-to-up treatment, and a fourth treatment mode, firstly performing right-to-left treatment, and firstly performing down-to-up treatment;
step four: summarizing results of different processing modes;
step five: manual monitoring and screening, namely, manually monitoring, selecting a relevant processing mode manually when a special mode requirement exists, and directly outputting when no special mode requirement exists;
step six: intelligent memory screening, namely screening an optimal processing mode by utilizing an ant algorithm and outputting, wherein when the processing mode screened intelligently is different from the processing mode screened manually, the processing mode screened intelligently is the most optimal output, and recording is carried out, and when the processing mode is not selected manually, the processing mode screened intelligently is directly output;
step seven: outputting the instruction, namely outputting the instruction information and the processing mode after relevant screening as the most preferable mode;
step eight: and executing the instruction according to the selected processing mode.
And selecting an optimal path from the paths by utilizing the principle of the ant algorithm to serve as an optimal execution mode.
And in the third step, a delay relay is utilized to simulate the processing processes of the first processing mode, the second processing mode, the third processing mode and the fourth processing mode in sequence.
And step six, performing storage and memory by using a data storage module.
And step seven, when the instruction is output, the adopted processing mode is displayed by matching with the indicator light and the loudspeaker.
When there is the special mode demand, utilize the artifical relevant processing mode of selection to select to establish the manual work into the most preferred option, avoid the processing mode of intelligent screening and the processing mode of artifical demand to be not conform to, make the processing mode of artifical intelligence more humanized, laminating user of service's actual demand.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (4)
1. An artificial intelligence optimization method based on an ant algorithm is characterized by comprising the following steps:
the method comprises the following steps: instruction input, inputting a control instruction to artificial intelligence;
step two: selecting a simulation processing mode;
step three: performing simulation of a treatment mode, wherein the simulation is divided into four treatment modes, namely a first treatment mode, namely, firstly performing left-to-right treatment, firstly performing up-to-down treatment, a second treatment mode, firstly performing right-to-back left treatment, firstly performing up-to-down treatment, a third treatment mode, firstly performing left-to-right treatment, firstly performing down-to-up treatment, and a fourth treatment mode, firstly performing right-to-left treatment, and firstly performing down-to-up treatment;
step four: summarizing results of different processing modes;
step five: manual monitoring and screening, namely, manually monitoring, selecting a relevant processing mode manually when a special mode requirement exists, and directly outputting when no special mode requirement exists;
step six: intelligent memory screening, namely screening an optimal processing mode by utilizing an ant algorithm and outputting, wherein when the processing mode screened intelligently is different from the processing mode screened manually, the processing mode screened intelligently is the most optimal output, and recording is carried out, and when the processing mode is not selected manually, the processing mode screened intelligently is directly output;
step seven: outputting the instruction, namely outputting the instruction information and the processing mode after relevant screening as the most preferable mode;
step eight: and executing the instruction according to the selected processing mode.
2. The ant algorithm-based artificial intelligence optimization method according to claim 1, wherein a processing procedure of a first processing mode, a second processing mode, a third processing mode and a fourth processing mode is simulated in sequence by using a time delay relay in the third step.
3. The ant algorithm-based artificial intelligence optimization method according to claim 1, wherein in the sixth step, a data storage module is used for storage and memory.
4. The ant algorithm-based artificial intelligence optimization method of claim 1, wherein the seventh step is performed in a processing manner in cooperation with an indicator light and a speaker for displaying when outputting the instruction.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073909A (en) * | 2010-12-28 | 2011-05-25 | 成都鹏业软件股份有限公司 | Implementation method for high-efficiency semiautomatic artificial intelligence (AI) software |
| CN107966900A (en) * | 2017-12-05 | 2018-04-27 | 成都猎维科技有限公司 | A kind of artificial intelligence optimization's method based on ant algorithm |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073909A (en) * | 2010-12-28 | 2011-05-25 | 成都鹏业软件股份有限公司 | Implementation method for high-efficiency semiautomatic artificial intelligence (AI) software |
| CN107966900A (en) * | 2017-12-05 | 2018-04-27 | 成都猎维科技有限公司 | A kind of artificial intelligence optimization's method based on ant algorithm |
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