Introduction to multi-objective optimization

Seyedali Mirjalili, Jin Song Dong

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the field of Artificial Intelligence (AI), search algorithms have been popular since their invention. A search algorithm is typically designed to search and find a desired solution from a given set of all possible solutions to maximize/minimize one or multiple objectives. Depending on the mechanism of a search method, this set of solution can be searched entirely or partially. A search algorithm starts with an initial state (solution), and the ultimate goal is to find a target state (solution).

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Verlag
Pages1-9
Number of pages9
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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Mirjalili, S., & Dong, J. S. (2020). Introduction to multi-objective optimization. In SpringerBriefs in Applied Sciences and Technology (pp. 1-9). (SpringerBriefs in Applied Sciences and Technology). Springer Verlag. https://doi.org/10.1007/978-3-030-24835-2_1