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《Journal of Beijing Jiaotong University》 2007-05
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Coevolutionary Algorithm Solving Multiobjective Optimization Problems

DONG Hong-bin1,2,HUANG Hou-kuan2,DENG Da-yong2,3(1.Department of Computer Science,Harbin Normal University,Harbin 150080,China;2.School of Computer and Information Technology,Beijing Jiaotong University, Beijing 100044,China;3.Zhejiang Normal University,Jinhua Zhejiang 321004,China)  
This paper presents a new evolutionary algorithm approach to multiobjective optimization problems—A Coevolutionary Algorithm to Solve the Multiobjective Optimization Problems(MOCEP).Through the evolutionary game,populations try to optimize their own objective function and all individuals of the population are regenerated after populations have been rewarded.Based on the performance of mutation strategies mixed strategy distribution is dynamically adjusted.The new approach is compared with other evolutionary optimization techniques in several benchmark functions.The benchmark problems numerical experiment results demonstrate that the proposed method can rapidly converge to the Pareto optimal front and spread widely along the front.
【Fund】: 国家自然科学基金资助项目(6044300340771154);; 黑龙江自然科学基金资助项目(F200605)
【CateGory Index】: TP301.6
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