Ensemble of niching algorithms

Yu, Eui-Young; Suganthan, Ponnuthurai Nagaratnam

doi:10.1016/j.ins.2010.04.008

Cited by 132 publications

(45 citation statements)

References 44 publications

(58 reference statements)

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“…In [9], an "island model" approach is incorporated to locate many global optima in parallel, while in [11] a DE extension with an ensemble of the restricted tournament selection (ERTS-DE) has been proposed. Finally, several other evolutionary computing methods have been proposed that attempt to deal with multimodal fitness landscapes [8], [21]- [25].…”

Section: Introductionmentioning

confidence: 99%

Finding multiple global optima exploiting differential evolution's niching capability

Epitropakis

Plagianakos²,

Vrahatis

2011

2011 IEEE Symposium on Differential Evolution (SDE)

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Abstract-Handling multimodal functions is a very important and challenging task in evolutionary computation community, since most of the real-world applications exhibit highly multimodal landscapes. Motivated by the dynamics and the proximity characteristics of Differential Evolution's mutation strategies tending to distribute the individuals of the population to the vicinity of the problem's minima, we introduce two new Differential Evolution mutation strategies. The new mutation strategies incorporate spatial information about the neighborhood of each potential solution and exhibit a niching formation, without incorporating any additional parameter. Experimental results on eight well known multimodal functions and comparisons with some state-of-the-art algorithms indicate that the proposed mutation strategies are competitive and very promising, since they are able to reliably locate and maintain many global optima throughout the evolution process.

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Section: Introductionmentioning

confidence: 99%

Finding multiple global optima exploiting differential evolution's niching capability

Epitropakis

Plagianakos²,

Vrahatis

2011

2011 IEEE Symposium on Differential Evolution (SDE)

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“…• Six binary MMO problems from [7]. These test functions are based on the unitation functions, and they are massively multimodal and deceptive.…”

Section: Resultsmentioning

confidence: 99%

“…We also have compared the results with Ensemble of niching algorithms (ENA) proposed in [7]. There is only the SR value for the ENA.…”

Section: Resultsmentioning

confidence: 99%

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Multiple Optima Identification Using Multi-strategy Multimodal Genetic Algorithm

Sopov¹

2016

. Sib. Fed. Univ., Math. phys.

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“…Wang [43] uses mutual information for feature selection in combining nearest neighbor classifiers using the fuzzy integral. Ensemble algorithms have been proposed and applied to different problems in different domains [48,47,26,52].…”

Section: Introductionmentioning

confidence: 99%