Evolutionary multimodal optimization

Known as: Evolutionary Multi-modal Optimization 
In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally… (More)
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Topic mentions per year

1982-2018
0204019822018

Papers overview

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Review
2015
Review
2015
Real world problems always have different multiple solutions. For instance, optical engineers need to tune the recording… (More)
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2012
2012
The principle of locality is one of the most widely used concepts in designing computing systems. To explore the principle in… (More)
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Highly Cited
2009
Highly Cited
2009
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed… (More)
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2009
2009
This paper presents an evolutionary algorithm, which we call Evolutionary Algorithm with Species-specific Explosion (EASE), for… (More)
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2005
2005
A new evolutionary technique for multimodal optimization called roaming optimization (RO) is presented. Multiple optima are… (More)
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Highly Cited
2005
Highly Cited
2005
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the… (More)
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Highly Cited
2005
Highly Cited
2005
In this paper differential evolution is extended by using the notion of speciation for solving multimodal optimization problems… (More)
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Highly Cited
2004
Highly Cited
2004
  • René Thomsen
  • Proceedings of the 2004 Congress on Evolutionary…
  • 2004
Multimodal optimization is an important area of active research within the evolutionary computation community. The ability of… (More)
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Highly Cited
2004
Highly Cited
2004
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values… (More)
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Review
2003
Review
2003
We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective… (More)
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