文件名称:relixue

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传算法是一种基于生物进化原理的启发式并行搜索和优化技术,常被用于优化计算。该文针对经典遗传算法在多目标优化计算中存在的不足,结合热力学中熵的概念,利用约束交叉、适应度共享技术来进行多目标函数的优化计算。实验结果显示这种改进型遗传算法能得到一个较好的Pareto优集。

-Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimization techniques, often used for optimization. In this paper, the classic genetic algorithm for multi-objective optimization of the shortcomings, combined with the concept of entropy in thermodynamics, the use of cross-bound, fitness sharing technology for multi-objective function optimization. The results revealed that the improved genetic algorithm can get a good set of Pareto superior.
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下载文件列表

程序--热力学遗传算法\单目标热力学遗传算法\CrossOver_genetic_operator.asv

....................\....................\CrossOver_genetic_operator.m

....................\....................\evaluate_objective.asv

....................\....................\evaluate_objective.m

....................\....................\genetic_operator.asv

....................\....................\genetic_operator.m

....................\....................\GetProbability.m

....................\....................\Hypervolume.asv

....................\....................\hypervolume.m

....................\....................\hypervolumeTest.m

....................\....................\initialize_variables.asv

....................\....................\initialize_variables.m

....................\....................\limit1.asv

....................\....................\limit1.txt

....................\....................\main.asv

....................\....................\main.m

....................\....................\Mutation_genetic_operator.asv

....................\....................\Mutation_genetic_operator.m

....................\....................\non_domination_sort_mod.asv

....................\....................\non_domination_sort_mod.m

....................\....................\nsga_2.asv

....................\....................\nsga_2.m

....................\....................\objective_description_function.asv

....................\....................\objective_description_function.m

....................\....................\paretofront.m

....................\....................\paretofront.mexw32

....................\....................\paretoGroup.m

....................\....................\record.txt

....................\....................\replace_chromosome.m

....................\....................\replace_chromosomea.m

....................\....................\s.asv

....................\....................\SD.asv

....................\....................\SD.m

....................\....................\SimulatedAnnealing.asv

....................\....................\SimulatedAnnealing.m

....................\....................\SimulatedAnnealing原始的.m

....................\....................\solution.txt

....................\....................\sp.asv

....................\....................\sp.m

....................\....................\Thermodynamics.m

....................\....................\tournament_selection.asv

....................\....................\tournament_selection.m

....................\....................\副本objective_description_function.m

....................\....................\更改算例需要改动的地方.txt

....................\....................\模拟退火.m

....................\....................\结果保存.txt

....................\....................\计算结果.doc

....................\热力学算子+小生境\CrossOver_genetic_operator.asv

....................\.................\CrossOver_genetic_operator.m

....................\.................\evaluate_objective.asv

....................\.................\evaluate_objective.m

....................\.................\genetic_operator.asv

....................\.................\genetic_operator.m

....................\.................\GetProbability.m

....................\.................\Hypervolume.asv

....................\.................\hypervolume.m

....................\.................\hypervolumeTest.m

....................\.................\initialize_variables.asv

....................\.................\initialize_variables.m

....................\.................\limit1.asv

....................\.................\limit1.txt

....................\.................\main.asv

....................\.................\main.m

....................\.................\Mutation_genetic_operator.asv

....................\.................\Mutation_genetic_operator.m

....................\.................\non_domination_sort_mod.asv

....................\.................\non_domination_sort_mod.m

....................\.................\nsga_2.asv

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