A probabilistic metric for comparing metaheuristic optimization algorithms

•Metaheuristic optimization algorithm runs are based on random numbers.•Several runs required for comparing performance of algorithms.•Single probabilistic metric proposed for ranking metaheuristic optimization algorithms.•Metric yields probability that given algorithm is better than alternative, in...

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Vydané v:	Structural safety Ročník 70; s. 59 - 70
Hlavní autori:	Gomes, Wellison J.S., Beck, André T., Lopez, Rafael H., Miguel, Leandro F.F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier Ltd 01.01.2018 Elsevier BV
Predmet:	Algorithms Evolutionary algorithms Heuristic methods Metaheuristic Objective function Optimization Optimization algorithms Performance metric Population (statistical) Population interference Probability Random numbers Standard deviation Statistical analysis Studies Optimization algorithms Population interference Metaheuristic Evolutionary algorithms Performance metric
ISSN:	0167-4730, 1879-3355
On-line prístup:	Získať plný text
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