WIGA: Wolbachia Infection Genetic Algorithm for Solving Multi-Objective Optimization Problems

机译：Wolbachia：Wolbachia感染遗传算法解决多目标优化问题

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This paper introduces a new evolutionary algorithm for solving multi-objective optimization problems. The proposed algorithm simulates the infection of the endosymbiotic bacteria Wolbachia to improve the evolutionary search. We conducted a series of experiments to compare the results of the proposed algorithm to those obtained by state of the art multi-objective evolutionary algorithms (MOEAs) at solving the ZDT test suite. Our experimental results show that the proposed model outperforms established MOEAs at solving most of the test problems.

机译：本文介绍了一种解决多目标优化问题的新进化算法。所提出的算法模拟了胚胎细菌Wolbachia的感染，以改善进化搜索。我们进行了一系列实验，可以将所提出的算法的结果与在求解ZDT试验套件时通过现有技术的多目标进化算法（MOEAS）获得的结果。我们的实验结果表明，拟议的模型优于解决大部分测试问题时的Moder。

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来源
《Mexican International Conference on Artificial Intelligence》|2013年||共11页
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作者
Mauricio Guevara-Souza; Edgar E. Vallejo;
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原文格式 PDF
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中图分类 TP18-53;
关键词
Evolutionary Algorithms; Genetic Algorithms; Multi-Objective Optimization; Wolbachia;

机译：进化算法;遗传算法;多目标优化;wolbachia;

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2. Multi-objective genetic algorithms for solving portfolio optimization problems in the electricity market [J] . Karoon Suksonghong, Kittipong Boonlong, Kim-Leng Goh International Journal of Electrical Power & Energy Systems . 2014,第juna期

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3. Using a simulated Wolbachia infection mechanism to improve multi-objective evolutionary algorithms [J] . Mauricio Guevara-Souza, Edgar E. Vallejo Natural Computing . 2015,第1期

机译：使用模拟的Wolbachia感染机制改进多目标进化算法
4. WIGA: Wolbachia Infection Genetic Algorithm for Solving Multi-Objective Optimization Problems [C] . Mauricio Guevara-Souza, Edgar E. Vallejo Mexican international conference on artificial intelligence . 2013

机译：WIGA：解决多目标优化问题的沃尔巴克氏菌感染遗传算法
5. The use of genetic algorithms to solve multi-objective scheduling problems on parallel machines. [D] . Horng, Shwu-Min. 1998

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WIGA: Wolbachia Infection Genetic Algorithm for Solving Multi-Objective Optimization Problems

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