Multi-objective grey wolf optimizer

Seyedali Mirjalili, Jin Song Dong

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Metaheuristics have become very popular in the last two decades. This class of problem solving techniques includes a wide range of algorithms to find reasonably good solutions for problems where deterministic methods are not efficient. Their name come from their mechanism, in which they do not required problem-specific heuristic information. Such methods are stochastic and consider problems as a black box.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Verlag
Pages47-58
Number of pages12
DOIs
Publication statusPublished - 1 Jan 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

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  • Cite this

    Mirjalili, S., & Dong, J. S. (2020). Multi-objective grey wolf optimizer. In SpringerBriefs in Applied Sciences and Technology (pp. 47-58). (SpringerBriefs in Applied Sciences and Technology). Springer Verlag. https://doi.org/10.1007/978-3-030-24835-2_5