Adaptively Species-Migration-Based Multimodal Particle Swarm Optimization

被引：0

作者：

Liu, Yu ^{[1
,2
]}

Lv, Mingwei ^{[1
,2
]}

Li, Wentao ^{[1
,2
]}

Fang, Jing ^{[1
,2
]}

Zhao, Lei ^{[1
,2
]}

机构：

[1] School of Software, Dalian University of Technology, Dalian 116621, China

[2] Institute of IT Service Engineering and Management, Dalian University of Technology, Dalian 116621, China

来源：

Journal of Computational Information Systems | 2011年 / 7卷 / 07期

关键词：

Information systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Niching technique plays an important role in multimodal function optimization. This paper introduces species migration and removes duplicate species into niching algorithms and proposes Adaptively Species-Migration-Based Multimodal Particle Swarm Optimization (SMPSO). The proposed algorithm doesn't rely on any prespecified niching parameter. Experiments show that SMPSO has higher success rate and needs lower computation cost than ANPSO in handling most of standard multimodal functions. Copyright © 2011 Binary Information Press.

引用

页码：2379 / 2386

共 50 条

[21] Particle swarm optimization based on particle migration and its application to geotechnical engineering
Chang Xiao-lin
Yu Sheng-chun
Ma Gang
Zhou Wei
ROCK AND SOIL MECHANICS, 2011, 32 (04) : 1077 - +
[22] FRPSO: Fletcher-Reeves based particle swarm optimization for multimodal function optimization
Agrawal, Shikha
Silakari, Sanjay
SOFT COMPUTING, 2014, 18 (11) : 2227 - 2243
[23] Niching particle swarm optimization based on Euclidean distance and hierarchical clustering for multimodal optimization
Liu, Qingxue
Du, Shengzhi
van Wyk, Barend Jacobus
Sun, Yanxia
NONLINEAR DYNAMICS, 2020, 99 (03) : 2459 - 2477
[24] Niching particle swarm optimization based on Euclidean distance and hierarchical clustering for multimodal optimization
Qingxue Liu
Shengzhi Du
Barend Jacobus van Wyk
Yanxia Sun
Nonlinear Dynamics, 2020, 99 : 2459 - 2477
[25] Modified Local Neighborhood Based Niching Particle Swarm Optimization for Multimodal Function Optimization
Ghosh, Pradipta
Zafar, Hamim
Mandal, Ankush
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I, 2011, 7076 : 199 - 208
[26] Adaptively weighted particle swarm optimization for damping enhanced inerter system
Pan C.
Han X.
Zhang R.-F.
Zhang X.
Lu J.-Z.
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2022, 35 (05): : 1233 - 1241
[27] A Hybrid Particle Swarm Optimization Strategy for Multimodal Function Optimization
Yu, Haiping
Zhou, Fengli
2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 471 - 475
[28] Hierarchical particle swarm optimization algorithm for multimodal function optimization
School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China
Metall. Min. Ind., 9 (908-916):
[29] A memetic particle swarm optimization algorithm for multimodal optimization problems
Wang, Hongfeng
Moon, Ilkyeong
Yang, Shenxiang
Wang, Dingwei
INFORMATION SCIENCES, 2012, 197 : 38 - 52
[30] A Memetic Particle Swarm Optimization Algorithm for Multimodal Optimization Problems
Wang, Hongfeng
Wang, Na
Wang, Dingwei
2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 3839 - 3845

← 1 2 3 4 5 →