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一种增强型基于失败者淘汰的多模态烟花算法
引用本文:申晓宁,王谦,黄遥,游璇. 一种增强型基于失败者淘汰的多模态烟花算法[J]. 系统仿真学报, 2020, 32(1): 9-11. DOI: 10.16182/j.issn1004731x.joss.19-0225
作者姓名:申晓宁  王谦  黄遥  游璇
作者单位:1. 南京信息工程大学自动化学院,南京 210044;2. 南京信息工程大学江苏省大气环境与装备技术协同创新中心,南京 210044;3. 南京信息工程大学江苏省大数据分析技术重点实验室,南京 210044
基金项目:国家自然科学基金(61502239,51705260);江苏省自然科学基金(BK20150924)
摘    要:提出一种增强型基于失败者淘汰制的多模态烟花算法。该算法采用一种新型的考虑位置特征的映射规则,把超出爆炸空间上边界的爆炸火花映射到爆炸空间上边界附近的区域、把低于爆炸空间下边界的爆炸火花映射到爆炸空间下边界附近的区域。所提算法引入了自适应调整爆炸火花数量参数的策略,以更好地平衡算法的全局和局部搜索能力。选取CEC2013标准测试函数集中的28个函数进行测试,实验结果表明所提算法具有更优的搜索性能。

关 键 词:映射规则  自适应  爆炸火花数量  爆炸幅度  
收稿时间:2019-05-23

An Enhanced Multi-modal Function Optimization Fireworks Algorithm Base on Loser-out Tournament
Shen Xiaoning,Wang Qian,Huang Kzo,You Xuan. An Enhanced Multi-modal Function Optimization Fireworks Algorithm Base on Loser-out Tournament[J]. Journal of System Simulation, 2020, 32(1): 9-11. DOI: 10.16182/j.issn1004731x.joss.19-0225
Authors:Shen Xiaoning  Wang Qian  Huang Kzo  You Xuan
Affiliation:1. School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210044, China;3. Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing 210044, China
Abstract:An enhanced multi-modal fireworks algorithm based on the loser-out tournament is proposed. A new position-based mapping rule is used to map the explosion sparks beyond the upper boundary of the explosion space to the area near the upper boundary, and to map the one below the lower boundary to the area near the lower boundary. A strategy which adaptively adjusts the number of explosion sparks is introduced to better balance the global and local search abilities of the algorithm. The 28 functions in the CEC2013 standard test function set are selected to the test. Experimental results show that the proposed algorithm performs search better.
Keywords:mapping rule  adaptive  number of explosion sparks  explosion amplitude
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