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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Bibliographic Details
Published in:	Structural safety Vol. 70; pp. 59 - 70
Main Authors:	Gomes, Wellison J.S., Beck, André T., Lopez, Rafael H., Miguel, Leandro F.F.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Ltd 01.01.2018 Elsevier BV
Subjects:	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
Online Access:	Get full text
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