A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
复制标题
一种基于竞争机制的快速收敛多目标粒子群优化器
DOI：
10.1016/j.ins.2017.10.037
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发表时间：
2018-02
影响因子：
8.1
通讯作者：
Yaochu Jin
中科院分区：
文献类型：
--
作者：
Xingyi Zhang;Xiutao Zheng;Ran Cheng;Jianfeng Qiu;Yaochu Jin
在过去的二十年里，多目标优化在进化计算界引起了越来越大的兴趣，基于不同种群的元启发式算法，人们提出了各种多目标优化算法，其中最具代表性的是多目标微粒群优化算法。现有的大多数多目标粒子群优化算法的性能在很大程度上依赖于存储在外部档案库中的全局或个体最优粒子，本文提出了一种基于竞争机制的多目标粒子群优化算法，该算法根据当前群体在每一代中执行的两两竞争来更新粒子。通过与三种多目标粒子群优化算法和三种多目标进化算法的基准比较，验证了竞争多目标微粒群优化算法的性能。实验结果表明，该算法在优化质量和收敛速度方面都具有良好的性能。
In the past two decades, multi-objective optimization has attracted increasing interests in the evolutionary computation community, and a variety of multi-objective optimization algorithms have been proposed on the basis of different population based meta-heuristics, where the family of multi-objective particle swarm optimization is among the most representative ones. While the performance of most existing multi-objective particle swarm optimization algorithms largely depends on the global or personal best particles stored in an external archive, in this paper, we propose a competitive mechanism based multi-objective particle swarm optimizer, where the particles are updated on the basis of the pairwise competitions performed in the current swarm at each generation. The performance of the proposed competitive multi-objective particle swarm optimizer is verified by benchmark comparisons with several state-of-the-art multi-objective optimizers, including three multi-objective particle swarm optimization algorithms and three multi-objective evolutionary algorithms. Experimental results demonstrate the promising performance of the proposed algorithm in terms of both optimization quality and convergence speed.
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影响因子：
5.6
作者：
Fister, Iztok;Suganthan, Ponnuthurai Nagaratnam;Strnad, Damjan
通讯作者：
Strnad, Damjan
DOI：
10.1145/2598394.2605342
发表时间：
2014-07
期刊：
Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
影响因子：
--
作者：
A. Engelbrecht
通讯作者：
A. Engelbrecht
DOI：
10.1016/b978-0-12-409547-2.14581-0
发表时间：
2020
期刊：
Comprehensive Chemometrics
影响因子：
--
作者：
Federico Marini;Beata Walczak
通讯作者：
Federico Marini;Beata Walczak
DOI：
10.1007/s00170-010-2689-0
发表时间：
2010-12-01
影响因子：
3.4
作者：
Taleizadeh, Ata Allah;Niaki, Seyed Taghi Akhavan;Jabbarzadeh, Armin
通讯作者：
Jabbarzadeh, Armin
DOI：
10.1016/j.mcm.2011.03.038
发表时间：
2011-09
期刊：
Math. Comput. Model.
影响因子：
--
作者：
A. Taleizadeh;F. Barzinpour;H. Wee
通讯作者：
A. Taleizadeh;F. Barzinpour;H. Wee