Results 241 to 250 of about 106,374 (297)

Enhanced multi-swarm cooperative particle swarm optimizer

Swarm and Evolutionary Computation, 2022
Abstract In this paper, a novel multi-swarm particle swarm optimizer driven by delayed-activation (DA) strategy and repulsive mechanism, named as enhanced multi-swarm cooperative particle swarm optimizer (EMCPSO) is proposed. EMCPSO is designed to make use of the advantage of multi-swarm technique and overcome the problem of premature convergence of ...
Jiawei Lu, Jian Zhang, Jianan Sheng
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Dynamic multi-swarm particle swarm optimizer

Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005., 2005
In this paper, a novel dynamic multi-swarm particle swarm optimizer (PSO) is introduced. Different from the existing multi-swarm PSOs and the local version of PSO, the swarms are dynamic and the swarms' size is small. The whole population is divided into many small swarms, these swarms are regrouped frequently by using various regrouping schedules and ...
J.J. Liang, P.N. Suganthan
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Dynamic multi-swarm global particle swarm optimization

Computing, 2020
To satisfy the distinct requirements of different evolutionary stages, a dynamic multi-swarm global particle swarm optimization (DMS-GPSO) is proposed in this paper. In DMS-GPSO, the entire evolutionary process is segmented as an initial stage and a later stage. In the initial stage, the entire population is divided into a global sub-swarm and multiple
Xuewen Xia, Yichao Tang, Bo Wei, Yinglong Zhang, Ling Gui, Xiong Li   +5 more
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MCPSO: A multi-swarm cooperative particle swarm optimizer

Applied Mathematics and Computation, 2007
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Niu, Ben, Zhu, Yunlong, He, Xiaoxian, Wu, Henry   +3 more
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Hybrid multi-swarm optimization based NoC synthesis

2017 30th IEEE International System-on-Chip Conference (SOCC), 2017
Network-on-Chip (NoC) has been proposed as an interconnection framework for connecting large number of cores for a System-on-Chip (SoC). Assuming a mesh-based NoC, we explore the assignment of cores to cross-points and produce a best NoC configuration with minimum average communication traffic, power consumption and chip area.
Muhammad Obaidullah, Gul N. Khan
openaire   +1 more source

Dynamic Multi-swarm Global Particle Swarm Optimization

2019 IEEE Congress on Evolutionary Computation (CEC), 2019
This paper proposes a dynamic multi-swarm global particle swarm optimization (DMS-GPSO) that consists of two novel strategies to balance the exploration and exploitation abilities. In DMS-GPSO, the entire population is divided into a global sub-swarm and dynamic multiple sub-swarms. During the evolutionary process.
Yichao Tang, Xiong Li, Yinglong Zhang, Xuewen Xia, Ling Gui   +4 more
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Multi-swarm hybrid for multi-modal optimization

2012 IEEE Congress on Evolutionary Computation, 2012
Multi-swarm systems base their search on multiple sub-swarms instead of one standard swarm. The use of diverse sub-swarms increases performance when optimizing multi-modal functions. However, new design decisions arise when implementing multi-swarm systems such as how to select the initial positions and initial velocities, and how to coordinate the ...
Antonio Bolufe Rohler, Stephen Chen
openaire   +1 more source

Multi-swarm Optimization in Dynamic Environments

2004
Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present new variants of Particle Swarm Optimization (PSO) specifically designed to work well in dynamic environments.
Branke, J., Blackwell, T.
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