Description: 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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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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