| 多目标联盟竞赛算法 |
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| 引用本文： | 卢协平,刘秉瀚.多目标联盟竞赛算法[J].福州大学学报(自然科学版),2015,43(2):182-187. |
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| 作者姓名： | 卢协平 刘秉瀚 |
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| 作者单位： | 福州大学数学与计算机科学学院,福建福州,350116 |
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| 基金项目： | 福建省自然科学基金资助项目(2012J01263、2013J01186)；福建省科技计划重点资助项目(2011Y0040) |
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| 摘 要： | 提出一种基于联盟竞赛的多目标进化算法,根据Pareto占优机制重新定义原算法在团队阵型比赛输赢上的判断,并优解扩散策略使算法不轻易陷入局部最优解,最后结合优解扩散策略开关和分布性指标定义算法终止条件.通过对4个二维目标ZDT测试函数、4个三维目标DTLZ测试函数的实验及其他多目标进化算法的对比和分析,验证了新算法的可行性和有效性.
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| 关 键 词： | 联盟竞赛算法 多目标进化算法 Pareto占优机制 优解扩散策略 |
| 收稿时间： | 9/8/2013 12:00:00 AM |
Multiobjective league championship algorithm |
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| LU Xieping and LIU Binghan.Multiobjective league championship algorithm[J].Journal of Fuzhou University(Natural Science Edition),2015,43(2):182-187. |
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| Authors: | LU Xieping and LIU Binghan |
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| Institution: | College of Mathematics and Computer Science,Fuzhou University,Fuzhou,College of Mathematics and Computer Science,Fuzhou University,Fuzhou |
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| Abstract: | The league championship algorithm is a swarm intelligece single objective optimization algorithm based on iterative and has good calculation effect and calculation efficiency. A multiobjective evolutionary algorithm based on league championship is proposed in this paper. Firstly according to pareto dominant mechanism redefine the judgment of team winning or losing. Secondly proposing optimal solution diffusion strategies avoid to fall into local optimal solution.Lastly using optimal solution diffusion strategies switch and spacing metric enable the algorithm auto stop.The proposed algorithm and other two algorithm are applied to four ZDT test functions and four DTLZ test functions.Experimental result show that the new algorithm is feasible and efficient. |
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| Keywords: | league championship algorithm multiobjective evolutionary algorithm pareto dominant mechanism optimal solution diffusion strategies |
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