CN104504177A - Method for quickly configuring and designing large container crane - Google Patents

Abstract

The invention discloses a method for quickly configuring and designing a large container crane. The method comprises the following steps: building a large container crane product configuration framework for quick design; analyzing and calculating local similarity, local green characteristic satisfaction degree and cooperation affinity between a case template and customer requirements, and building a 0-1 genetic programming evolutionary model with constraint. In combination with the characteristic of large scale of configuration and optimization problem of the large container crane products, a pseudo-random proportion rule of an ant colony algorithm is redesigned; a candidate gene case number reducing rule is provided on account of the problem that the number of candidate gene cases is often more; an x-Sigmoid function is designed, and the transition probability is adjusted according to the function, so that the algorithm searching speed is increased; the predatory strategy is carried out, so that the development of optimum areas is enhanced, and the searching capability is improved; by comprehensively utilizing the model and the algorithm disclosed by the invention, a satisfactory preliminary design scheme of the large container crane is obtained in a short time; the flexibility is better.

Description

Van container crane rapid configuration method for designing

Technical field

The present invention relates to the technical field of products configuration theory and method research, be specifically related to a kind of van container crane rapid configuration method for designing.

Background technology

Van container crane is the seriation of Evolution Type under a kind of Single unit job lot production pattern, personalized complex mechanical product, and its design process has certain complicacy.On the one hand, the situation of each container wharf, the ship type, the depth of water, hydrologic condition etc. that load and unload all can cause the variation of van container crane.As castor, lifting altitude, the lifting capacity difference of van container crane, depend on loaded and unloaded ship type; Maximum wheel load, the wheelspan of crane are different, depend on the geologic condition of harbour, wheel load allowable etc.The container crane of in fact each Port is not standard, and each container wharf is to the demand having personalization of crane.Therefore, each novel container crane all needs to carry out the selection of mechanism standard part, the design of non-standard component, thus needs to carry out modularization and configuration design.

On the other hand, van container crane is again the Evolution Type seriation engineering goods with multi-level product tree, between new old product, between the series of products of same type, there is similarity in various degree and Evolvement, make product configuration design have the configuration space data of higher-dimension.By repeatedly checking the key characterization parameter determining product component, it is the essential characteristic of van container rubber tyre gantry crane design.At present main Analogy, the Empirical Design adopted fails scientific utilization product history design information, there is a large amount of duplication of labour and the huge waste of resource.Therefore in the urgent need to the method for development support product rapid configuration design, the dirigibility of design is improved.

Summary of the invention

The invention provides a kind of van container crane rapid configuration method for designing, satisfied preliminary project can be obtained within a short period of time, improve efficiency and the quality of product configuration design work, reduce design cost.

For achieving the above object, the invention provides a kind of van container crane rapid configuration method for designing, be characterized in, the method comprises:

Above-mentioned foundation comprises towards the van container crane products Configuration Framework of rapid Design:

To local similarity, the local green characteristic satisfaction of case template and customer demand, coordinate affinity etc. to carry out analysis and calculation, build the one-zero programming gene evolution model of belt restraining;

In conjunction with the feature that van container crane products configuration optimization problem scale is larger, the present invention has redesigned the pseudorandom ratio rules of ant group algorithm; And for the often more problem of alternative gene example quantity, a kind of alternative gene example quantity reduce engine system is proposed; Devise a kind of x_Sigmoid function, and by this function adjustment transition probability, accelerate algorithm search speed; Implement Forging strategy, strengthen the exploitation in more excellent region, strengthen search capability.

The van container crane products rapid configuration design framework of above-mentioned foundation comprises:

Change traditional Analogy, Experience Design pattern, to improve the efficiency of van container crane products design.

First, build products configuration gene evolution model, and the basic parameter of initialization model.

Then set up a kind of products configuration rapid Design algorithm based on improvement ant group, utilize this algorithm to obtain preliminary project.

Finally, on preliminary project basis, set up cart walking mechanism non-standard component three-dimensional model.According to user's requirement, intensity, rigidity etc. as large bassinet structure carry out the check about constraint condition.If met, then the design success of this non-standard component; If do not met, then variable element, alter feature design are carried out to this non-standard component, as thinning in thickness of slab, highly reduce, and again to check, until satisfy condition, and add case library to.

Above-mentioned local similarity, local green characteristic satisfaction to case template and customer demand, coordinate affinity etc. to carry out analysis and calculation, the one-zero programming gene evolution model building belt restraining comprises:

Utilize local similarity, local green characteristic satisfaction, coordinate the formula of affinity, carry out the analysis and calculation of product configuration scheme, set up and be target to the maximum with the fitness of product configuration scheme, the selection of product virtual characterizing gene, cooperation, correlativity, cost and weight are the one-zero programming gene evolution model of constraint.

The above-mentioned pseudorandom ratio rules having redesigned ant group algorithm comprises:

Every ant sets up a configuration design proposal by repeatedly applying equation (1) pseudorandom ratio rules.Design pseudorandom ratio rules is to make fitness high and having the gene example of bulk information element to have more choice. represent ant l Select gene instance X _ijprobability.

Wherein, for local similarity describes the gene instance X in case template _i,jwith customer demand R _i,kbetween similarity degree. for gene instance X _i,jon pheromones track intensity.β, be two parameters, β reflects the relative importance of local similarity information in optional gene example, the relative importance of information in optional gene example of reflection ant motion process accumulation.Parameter θ ₀size determine the relative importance utilizing priori and explore between new gene example.Whenever an ant prepares Select gene instance X _i,jtime, algorithm produces random number 0≤θ≤1.If θ≤θ ₀, then select best gene example according to priori, otherwise select by probability.

The above-mentioned problem often more for alternative gene example quantity, proposes a kind of alternative gene example quantity reduce engine system and comprises:

In mass product allocation problem, the alternative gene example of some gene position is a lot, and this can reduce algorithm search speed.The present invention is for reducing alternative gene example quantity, and the optional gene instance number making i-th gene position (total n gene position) is M _i, by following alternative gene example quantity reduce engine system by M _ibe adjusted to M _i'.

Else, M _i'＝M _i

Wherein, int [] is for round downwards; ξ is positive integer, is optional gene dosage threshold value; for gene example difference ratio, the ratio of the alternative gene example then reduced is:

1. redesigned the pseudorandom ratio rules of ant group algorithm;

Every ant sets up a configuration design proposal by repeatedly applying equation (1) pseudorandom ratio rules.Design pseudorandom ratio rules is to make fitness high and having the gene example of bulk information element to have more choice. represent ant l Select gene instance X _ijprobability.

Wherein, for local similarity describes the gene instance X in case template _i,jwith customer demand R _i,kbetween similarity degree. for gene instance X _i,jon pheromones track intensity.β, be two parameters, β reflects the relative importance of local similarity information in optional gene example, the relative importance of information in optional gene example of reflection ant motion process accumulation.Parameter θ ₀size determine the relative importance utilizing priori and explore between new gene example.Whenever an ant prepares Select gene instance X _i,jtime, algorithm produces random number 0≤θ≤1.If θ≤θ ₀, then select best gene example according to priori, otherwise select by probability.

2. van container crane rapid configuration method for designing as claimed in claim 1, is characterized in that, for the problem that alternative gene example quantity is often more, propose a kind of alternative gene example quantity reduce engine system.

In mass product allocation problem, the alternative gene example of some gene position is a lot, and this can reduce algorithm search speed.The present invention is for reducing alternative gene example quantity, and the optional gene instance number making i-th gene position (total n gene position) is M _i, by following alternative gene example quantity reduce engine system by M _ibe adjusted to M _i'.

Else, M _i'＝M _i

Wherein, int [] is for round downwards; ξ is positive integer, is optional gene dosage threshold value; for gene example difference ratio, the ratio of the alternative gene example then reduced is:

The ratio of the alternative gene example reduced depends primarily on M _ithe ratio of > ξ, M _iwith the relative size of ξ, size, M _ithe ratio of > ξ is higher, M _iit is larger relative to ξ, less, then the ratio of the alternative gene example reduced is higher, and the calculated amount also namely reduced is larger.

The ratio of the alternative gene example reduced depends primarily on M _ithe ratio of > ξ, M _iwith the relative size of ξ, size, M _ithe ratio of > ξ is higher, M _iit is larger relative to ξ, less, then the ratio of the alternative gene example reduced is higher, and the calculated amount also namely reduced is larger.

Above-mentionedly devise a kind of x_Sigmoid function, and by this function adjustment transition probability, accelerate algorithm search speed and comprise:

Theorem: for a mapping make T _i,j, corresponding transition probability is respectively P _i,j, if for any T _{i, j1}< T _{i, j2}have then $\frac{P_{i,j1}}{P_{i,j2}}>\frac{P_{i,j1}^{\mathrm{new}}}{P_{i,j2}^{\mathrm{new}}}.$

Basic thought: order by formula (1), have $P_{X_{\mathrm{ij}}}^l=\frac{T_{i,j}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{T}_{i,j}}$

In ant group algorithm, choosing of transition probability has a significant impact algorithm search process.For mass product configuration optimization problem, for accelerating algorithm search speed further, the present invention is to T _i,jadjust.At M _iindividual T _i,jin, allow less T _i,jreduce; Larger T _i,jtry not to have a greater change.Like this, less T _i,jcorresponding transition probability is lowered, larger T _i,jcorresponding transition probability is enhanced; But several larger T _i,jthe relative size change of corresponding transition probability (i.e. the selected probability of corresponding gene example) is little.This adjustment is beneficial to accelerates algorithm search speed, is also beneficial to simultaneously and avoids algorithm to be absorbed in local extremum.

The design of x_Sigmoid function: work as T _i,jtime less, should be less; Work as T _i,jtime larger, should substantially remain unchanged.

And Sigmoid function is to right translation x ₁after > 0, when independent variable is less than x ₁time, dependent variable is less; When independent variable is greater than x ₁time, dependent variable is relatively large, and independent variable is larger, and dependent variable is more close to 1.That is, Sigmoid function moves to right x ₁after, with unanimously.

Therefore, first by T _i,jlinear conversion is to [0,2x ₁] in interval then allow by Sigmoid function.

First convert, make T _max=maxT _i,j, T _min=minT _i,j, by T _max, T _minmid point (T _max+ T _minx is converted in)/2 ₁, then T _i,jconversion is:

$T_{i,j}^{*}=\frac{T_{i,j}}{T_{\max }+T_{\min }}{2x}_1---\left(3\right)$

Namely scope be $[\frac{T_{\min }}{T_{\max }+T_{\min }}{2x}_1,\frac{T_{\max }}{T_{\max }+T_{\min }}{2x}_1]\&Subset;[0,{2x}_1].$

Then, get $T_{i,j}^{\mathrm{new}}/T_{i,j}^{*}=\frac{1}{1+\exp (x_1-T_{i,j}^{*})}---\left(4\right)$

Namely $T_{i,j}^{\mathrm{new}}=\frac{T_{i,j}^{*}}{1+\exp (x_1-T_{i,j}^{*})}---\left(5\right)$

This function is called x_Sigmoid function by the present invention.

Transition probability adjustable strategies: for any T _{i, j1}< T _{i, j2}, due to T _{i, j1}, T _{i, j2}, T _max, T _min, x ₁> 0, then by after formula (3) conversion, have

Sigmoid function is monotonically increasing function, then Sigmoid function is to right translation x ₁after functional expression (4) be also monotonically increasing, therefore

Can be obtained by theorem 1, if T _i,jbe mapped as by formula (3), (5) and recalculate transition probability, then the meeting that former transition probability is relatively little is less, and the meeting that former transition probability is relatively large is larger.

Above-mentioned enforcement Forging strategy, strengthens the exploitation in more excellent region, strengthens search capability and comprises:

After every generation terminates, using χ ant before Search Results is best as escape ant, then allow η to prey on ant to go to chase.To predation ant, each gene example information element of interim renewal, shown in (6).

${\mathrm{\&tau;}}_{X_{i,j}}=\mathrm{\&rho;}\&times;{\mathrm{\&tau;}}_{X_{i,j}}+{\mathrm{\&Delta;\&tau;}}_{X_{i,j}}+{{\mathrm{\&Delta;\&tau;}}^{\&prime;}}_{X_{i,j}}---\left(6\right)$

Wherein, represent l ant Select gene instance X _i,jafter the pheromones amount that stays, similarity is higher, pheromone release more, just can be attractive to ant; represent gene instance X in this circulation _i,jpheromones increment;

${{\mathrm{\&Delta;\&tau;}}^{\&prime;}}_{X_{i,j}}=\underset{\mathrm{\&gamma;}=1}{\overset{\mathrm{\&chi;}}{\mathrm{\&Sigma;}}}{\mathrm{\&Delta;\&tau;}}_{X_{i,j}}^{\mathrm{\&gamma;}},{\mathrm{\&Delta;\&tau;}}_{X_{i,j}}^{\mathrm{\&gamma;}}=\left\{\begin{array}{ccc}{Q}^{\&prime;}\&times;S_{(X_{i,j},R_{i,k})},& \mathrm{if}& G^{\mathrm{\&gamma;}}=X_{i,j}\\ 0,& \mathrm{if}& G^{\mathrm{\&gamma;}}\&NotEqual;X_{i,j}\end{array}\right.,$ Wherein Q'> Q, this pheromones upgrades temporarily, is only applicable to this generation predation ant, is not suitable for offspring's search.Object strengthens search in escape ant neighborhood, accelerates algorithm search speed.

Van container crane products rapid configuration method for designing of the present invention is compared with the Analogy now adopted, Empirical Design, its advantage is, have the configuration space data of higher-dimension for van container crane products configuration design, the present invention proposes a kind of alternative gene example quantity reduce engine system; Devise a kind of x_Sigmoid function, and by this function adjustment transition probability, accelerate algorithm search speed; Implement Forging strategy, strengthen the exploitation in more excellent region, strengthen search capability; The model and algorithm that integrated use the present invention proposes can obtain satisfied van container crane preliminary project within a short period of time, has better dirigibility.

Use the preliminary project of the inventive method acquisition after check, variable element, alter feature design, the configuration design result of van container crane can be checked.Relative to the design result that traditional design mode obtains, the inventive method can obtain the preliminary project close to customer demand fast, then by less variable element, alter feature design work, just can realize the design meeting customer demand, comparatively traditional design mode greatly reduces design time, has saved design cost.

Accompanying drawing explanation

Fig. 1 is the frame diagram of van container crane products rapid configuration method for designing of the present invention

Fig. 2 is the process flow diagram of van container crane products rapid configuration method for designing of the present invention

Fig. 3 is the inventive method transition strategy parameter with T _i,jsituation of change

Fig. 4 is the inventive method transition strategy parameter with p _i,jsituation of change

Fig. 5 is that the inventive method compares with the box figure of other four kinds of method optimum results

Embodiment

Below in conjunction with accompanying drawing, further illustrate specific embodiments of the invention.

As shown in Figure 1, the invention discloses van container crane products rapid configuration method for designing, the method includes the steps of:

Traditional design method mainly adopts Analogy or Empirical Design, and deviser, according to the function of customer order and parameter requirements, the basis of similar Design example in the past is by rule of thumb used or suitably revised, generates new design proposal.This method for designing fails scientific utilization product history design information, and take time and effort, efficiency is comparatively low.

For improving the efficiency of van container crane products design, invention changes traditional design mode, proposes a kind of van container crane products Configuration Framework towards rapid Design:

First, build products configuration gene evolution model, and the basic parameter of initialization model.

Then, set up a kind of products configuration rapid Design algorithm based on improvement ant group, utilize this algorithm to obtain preliminary project.

Finally, on preliminary project basis, set up cart walking mechanism non-standard component three-dimensional model.According to user's requirement, intensity, rigidity etc. as large bassinet structure carry out the check about constraint condition.If met, then the design success of this non-standard component; If do not met, then variable element, alter feature design are carried out to this non-standard component, as thinning in thickness of slab, highly reduce, and again to check, until satisfy condition, and add case library to.

As shown in Figure 2, the process flow diagram of van container crane products rapid configuration method for designing of the present invention specifically comprises following steps:

Step 1, initialization basic parameter, comprise α, θ ₀, β, ρ, Q etc.

According to initialization rule, the pheromones amount on each gene example is equal, if (0)=ψ (ψ is constant).α ant was placed on n product virtual characterizing gene randomly in the starting stage.

Step 2, based on x_Sigmoid function adjustment transition probability.

Step 3, ant carry out parts selection by pseudorandom ratio rules.

Ant l (l=1,2, α) in foundation configuration design proposal process, by the guidance of local similarity information (they are more prone to the gene example selecting similarity high) and pheromones track strength information (pheromones intensity high gene example to ant more attractive).

After step 4, ant complete once circulation, revise the pheromones amount of gene example by local updating rule.

Step 5, enforcement Forging strategy, strengthen searching in escape ant neighborhood, accelerate algorithm search speed.

Step 6, with the formula (5) calculate fitness, and according to fitness threshold value and iterations threshold value, determine to configure the preliminary project whether design proposal is non-standard component."Yes" then performs Step8, and "No" then performs Step7.

Step 7, once the configuration design proposal that all ants are completed them is searched for, is again modified to the pheromones amount of gene example according to overall update rule, is then returned step 2.

Step 8, Output rusults.

For pictute, if x ₁=5, then with T _i,jsituation of change as shown in Figure 3.Work as T as seen from Figure 3 _i,jtime less, very little; T _i,jtime larger, change is little, close to 1.

If M _i=10, T _i,j=2.6604,0.6472,1.6992,1.3608,2.4956,2.1339,1.2781,0.0518,2.2999,1.2452, with P _i,jsituation of change as shown in Figure 4.As seen from Figure 4, transition probability is originally less, now less; Transition probability is original larger, increases now, and the multiple increased is similar, and namely their relative size change is little.Also namely, transition probability is originally less, and approximate index reduces, and transition probability is originally larger, and approximately linear increases.

Below in conjunction with Fig. 5, illustrate the embodiment that rapid configuration designs:

Adopt the inventive method, Basic Ant Group of Algorithm, the ant group algorithm based on evolution intensity, the improvement ant group algorithm based on population parameter optimization simultaneously, carry out rapid configuration optimization calculating based on the ant group algorithm of vector subspace, the ant structure of these four kinds of algorithms, population scale, iterations are identical with the inventive method.Design system for product configuration (using the exploitation of Pro/E 3D sculpting software, VB language, Access database to form) is utilized to carry out products configuration, being configured to of computing machine: Pentium Dual 2.00GHZ, 2GHz internal memory, Windows XP.According to the one-zero programming gene evolution model of belt restraining, these 5 kinds of algorithms run 50 times continuously, and the box figure of fitness, convergence times, convergence time compares, as shown in Figure 5.In Fig. 5 transverse axis coordinate 1,2,3,4,5 respectively corresponding Basic Ant Group of Algorithm, the ant group algorithm based on evolution intensity, the improvement ant group algorithm based on population parameter optimization, based on the ant group algorithm of vector subspace and the inventive method.The inventive method convergence in mean result is better than additive method, and speed of convergence also has further improvement compared with other 4 kinds of methods.The inventive method can obtain the preliminary project close to customer demand fast, then by less variable element, alter feature design work, just can realize the design meeting customer demand, comparatively traditional design mode greatly reduces design time, has saved design cost.

Although content of the present invention has done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.After those skilled in the art have read foregoing, for multiple amendment of the present invention and substitute will be all apparent.Therefore, protection scope of the present invention should be limited to the appended claims.

Claims (7)

1. a van container crane rapid configuration method for designing, it is characterized in that, the method comprises:

Set up the van container crane products Configuration Framework towards rapid Design;

To local similarity, the local green characteristic satisfaction of case template and customer demand, coordinate affinity etc. to carry out analysis and calculation, build the one-zero programming gene evolution model of belt restraining;

In conjunction with the feature that van container crane products configuration optimization problem scale is larger, the present invention has redesigned the pseudorandom ratio rules of ant group algorithm; And for the often more problem of alternative gene example quantity, a kind of alternative gene example quantity reduce engine system is proposed; Devise a kind of x_Sigmoid function, and by this function adjustment transition probability, accelerate algorithm search speed; Implement Forging strategy, strengthen the exploitation in more excellent region, strengthen search capability.

2. van container crane rapid configuration method for designing as claimed in claim 1, it is characterized in that, described van container crane products rapid configuration design framework of setting up comprises:

Change traditional Analogy, Experience Design pattern, to improve the efficiency of van container crane products design.

First, build products configuration gene evolution model, and the basic parameter of initialization model.

Then set up a kind of products configuration rapid Design algorithm based on improvement ant group, utilize this algorithm to obtain preliminary project.

Finally, on preliminary project basis, set up cart walking mechanism non-standard component three-dimensional model.According to user's requirement, intensity, rigidity etc. as large bassinet structure carry out the check about constraint condition.If met, then the design success of this non-standard component; If do not met, then variable element, alter feature design are carried out to this non-standard component, as thinning in thickness of slab, highly reduce, and again to check, until satisfy condition, and add case library to.

3. van container crane rapid configuration method for designing as claimed in claim 1, it is characterized in that, described local similarity, local green characteristic satisfaction to case template and customer demand, coordinate affinity etc. to carry out analysis and calculation, the one-zero programming gene evolution model building belt restraining comprises:

Utilize local similarity, local green characteristic satisfaction, coordinate the formula of affinity, carry out the analysis and calculation of product configuration scheme, set up and be target to the maximum with the fitness of product configuration scheme, the selection of product virtual characterizing gene, cooperation, correlativity, cost and weight are the one-zero programming gene evolution model of constraint.

4. van container crane rapid configuration method for designing as claimed in claim 3, is characterized in that, redesigned the pseudorandom ratio rules of ant group algorithm;

Every ant sets up a configuration design proposal by repeatedly applying equation (1) pseudorandom ratio rules.Design pseudorandom ratio rules is to make fitness high and having the gene example of bulk information element to have more choice. represent ant l Select gene instance X _ijprobability.

Wherein, for local similarity describes the gene instance X in case template _i,jwith customer demand R _i,kbetween similarity degree. for gene instance X _i,jon pheromones track intensity.β, be two parameters, β reflects the relative importance of local similarity information in optional gene example, the relative importance of information in optional gene example of reflection ant motion process accumulation.Parameter size determine the relative importance utilizing priori and explore between new gene example.Whenever an ant prepares Select gene instance X _i,jtime, algorithm produces a random number if then select best gene example according to priori, otherwise select by probability.

5. van container crane rapid configuration method for designing as claimed in claim 1, is characterized in that, for the problem that alternative gene example quantity is often more, propose a kind of alternative gene example quantity reduce engine system.

In mass product allocation problem, the alternative gene example of some gene position is a lot, and this can reduce algorithm search speed.The present invention is for reducing alternative gene example quantity, and the optional gene instance number making i-th gene position (total n gene position) is M _i, by following alternative gene example quantity reduce engine system by M _ibe adjusted to M _i'.

If M _i>ξ,

Else,M _i'＝M _i

Wherein, int [] is for round downwards; ξ is positive integer, is optional gene dosage threshold value;

for gene example difference ratio, the ratio of the alternative gene example then reduced is:

The ratio of the alternative gene example reduced depends primarily on M _ithe ratio of > ξ, M _iwith the relative size of ξ, size, M _ithe ratio of > ξ is higher, M _iit is larger relative to ξ, less, then the ratio of the alternative gene example reduced is higher, and the calculated amount also namely reduced is larger.

6. van container crane rapid configuration method for designing as claimed in claim 1, is characterized in that, devise a kind of x_Sigmoid function, and by this function adjustment transition probability, accelerates algorithm search speed;

Theorem: for a mapping order corresponding transition probability is respectively P _i,j, if for any T _{i, j1}< T _{i, j2}have then

Basic thought: order by formula (1), have

In ant group algorithm, choosing of transition probability has a significant impact algorithm search process.For mass product configuration optimization problem, for accelerating algorithm search speed further, the present invention is to T _i,jadjust.At M _iindividual T _i,jin, allow less T _i,jreduce; Larger T _i,jtry not to have a greater change.Like this, less T _i,jcorresponding transition probability is lowered, larger T _i,jcorresponding transition probability is enhanced; But several larger T _i,jthe relative size change of corresponding transition probability (i.e. the selected probability of corresponding gene example) is little.This adjustment is beneficial to accelerates algorithm search speed, is also beneficial to simultaneously and avoids algorithm to be absorbed in local extremum.

The design of x_Sigmoid function: work as T _i,jtime less, should be less; Work as T _i,jtime larger, should substantially remain unchanged.

And Sigmoid function is to right translation x ₁after > 0, when independent variable is less than x ₁time, dependent variable is less; When independent variable is greater than x ₁time, dependent variable is relatively large, and independent variable is larger, and dependent variable is more close to 1.That is, Sigmoid function moves to right x ₁after, with unanimously.

Therefore, first by T _{i, j}linear conversion is to [0,2x ₁] in interval then allow by Sigmoid function.

First convert, make T _max=maxT _i,j, T _min=minT _i,j, by T _max, T _minmid point (T _max+ T _minx is converted in)/2 ₁, then T _i,jconversion is:

Namely scope be

Then, get

Namely

This function is called x_Sigmoid function by the present invention.

Transition probability adjustable strategies: for any T _{i, j1}< T _{i, j2}, due to T _{i, j1}, T _{i, j2}, T _max, T _min, x ₁> 0, then by after formula (3) conversion, have

Sigmoid function is monotonically increasing function, then Sigmoid function is to right translation x ₁after functional expression (4) be also monotonically increasing, therefore

Can be obtained by theorem 1, if T _i,jbe mapped as by formula (3), (5) and recalculate transition probability, then the meeting that former transition probability is relatively little is less, and the meeting that former transition probability is relatively large is larger.

For pictute, if x ₁=5, then with T _i,jsituation of change for work as T _i,jtime less, very little; T _i,jtime larger, change is little, close to 1.

If M _i=10, T _i,j=2.6604,0.6472,1.6992,1.3608,2.4956,2.1339,1.2781,0.0518,2.2999,1.2452, with P _i,jsituation of change be that transition probability is originally less, now less; Transition probability is original larger, increases now, and the multiple increased is similar, and namely their relative size change is little.Also namely, transition probability is originally less, and approximate index reduces, and transition probability is originally larger, and approximately linear increases.

7. van container crane rapid configuration method for designing as claimed in claim 1, is characterized in that, implements Forging strategy, strengthens the exploitation in more excellent region, strengthens search capability.

After every generation terminates, using χ ant before Search Results is best as escape ant, then allow η to prey on ant to go to chase.To predation ant, each gene example information element of interim renewal, shown in (6).

Wherein, represent l ant Select gene instance X _i,jafter the pheromones amount that stays, similarity is higher, pheromone release more, just can be attractive to ant; represent gene instance X in this circulation _i,jpheromones increment;

wherein Q'> Q, this pheromones upgrades temporarily, is only applicable to this generation predation ant, is not suitable for offspring's search.Object strengthens search in escape ant neighborhood, accelerates algorithm search speed.