A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems
A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems
复制标题
使用环拓扑解决多模态多目标问题的多目标粒子群优化器
DOI:
10.1109/tevc.2017.2754271
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发表时间:
2018-10
影响因子:
14.3
通讯作者:
Jing Liang
中科院分区:
文献类型:
--
作者:
Caitong Yue;Boyang Qu;Jing Liang
This paper presents a new particle swarm optimizer for solving multimodal multiobjective optimization problems which may have more than one Pareto-optimal solution corresponding to the same objective function value. The proposed method features an index-based ring topology to induce stable niches that allow the identification of a larger number of Pareto-optimal solutions, and adopts a special crowding distance concept as a density metric in the decision and objective spaces. The algorithm is shown to not only locate and maintain a larger number of Pareto-optimal solutions, but also to obtain good distributions in both the decision and objective spaces. In addition, new multimodal multiobjective optimization test functions and a novel performance indicator are designed for the purpose of assessing the performance of the proposed algorithms. An effectiveness validation study is carried out comparing the proposed method with five other algorithms using the benchmark functions to prove its effectiveness.
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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:
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作者:
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DOI:
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期刊:
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影响因子:
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作者:
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通讯作者:
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影响因子:
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作者:
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通讯作者:
Clarkson, PJ
DOI:
10.1201/9780429422614-20
发表时间:
2018-10
期刊:
Swarm Intelligence Algorithms
影响因子:
--
作者:
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通讯作者:
Adam Slowik
DOI:
10.1201/9781003206477-5
发表时间:
2021-08
期刊:
Evolutionary Optimization Algorithms
影响因子:
--
作者:
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通讯作者:
A. Badar