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Multi-swarm optimization

Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm… Expand
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Papers overview

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2019
2019
Multi-task optimization (MTO) is a newly emerging research area in the field of optimization, studying on how to solve multiple… Expand
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2016
2016
Association Rule Mining (ARM) can be considered as a combinatorial problem with the purpose of extracting the correlations… Expand
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2015
2015
Graphical abstractDisplay Omitted HighlightsA new cooperative learning strategy is hybridized with DMS-PSO.Information can be… Expand
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2015
2015
In real-world applications, many optimization problems are dynamic, therefore the goal of optimization algorithms is not only to… Expand
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2013
2013
This paper presents a new Cooperative Evolutionary Multi-Swarm Optimization Algorithm (CEMSO-GPU) based on CUDA parallel… Expand
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Highly Cited
2010
Highly Cited
2010
Many problems in the real world are dynamic in which the environment changes. However, the nature itself provides solutions for… Expand
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2010
2010
This article presents a novel parallel multi-swarm optimization (PMSO) algorithm with the aim of enhancing the search ability of… Expand
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Highly Cited
2008
Highly Cited
2008
In the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms… Expand
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2008
2008
Inspired by a forking mechanism, a new multi-swarm optimization algorithm is proposed for addressing dynamic optimization… Expand
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Highly Cited
2004
Highly Cited
2004
Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum… Expand
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