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Evolutionary multimodal optimization

Known as: Evolutionary multi-modal optimization, Multimodal 
In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally… 
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Related topics

Related topics

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CMA-ESComputational neurogenetic modelingDifferential evolutionEvolution strategy

Broader (1)

Cybernetics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Multimodal genetic programming by using tree structure similarity clustering
This paper proposes a multimodal genetic programming (GP) that incorporates a clustering of a population based on the tree… 
2016
2016
A parallel multimodal optimization algorithm for simulation-based design of power systems
This paper proposes a parallel multimodal optimization algorithm that is combined with electromagnetic transient simulation in a… 
2015
2015
Differential Evolution with Random Walk Mutation and an External Archive for Multimodal Optimization
Locating multiple optima of a problem is an important and challenging task for many real-world applications. In this paper, a… 
2014
2014
VARIANCE-BASED HARMONY SEARCH ALGORITHM FOR UNIMODAL AND MULTIMODAL OPTIMIZATION PROBLEMS WITH APPLICATION TO CLUSTERING
This article presents a novel variance-based harmony search algorithm (VHS) for solving optimization problems. VHS incorporates… 
2013
2013
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization
Many real-world problems have several optima, and the aim of niching optimisation algorithms is to obtain the different global… 
2012
2012
Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima
Review
2011
Review
2011
Test Function Generators for Assessing the Performance of PSO Algorithms in Multimodal Optimization
The particle swarm optimization (PSO) algorithm has gained increasing popularity in the last few years mainly because of its… 
2008
2008
Collaborative Evolutionary Swarm Optimization with a Gauss Chaotic Sequence Generator
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is… 
Review
2007
Review
2007
Particle Swarms for Multimodal Optimization
In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A… 
2001
2001
Towards multimodal corpora
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