Non-dominated sorting genetic algorithm

Seyedali Mirjalili, Jin Song Dong

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Evolutionary Algorithms mimic natural evolutionary process in nature. One of the most well-regarded evolutionary algorithms is Genetic Algorithm (GA) [1]. This algorithm has been inspired from the Drawin's theory of evolutionary. This theory states that natural organisms develop using the natural selection. Natural selection refers to the process of selecting and propagating the best genes from one generation to the next that helps the new generation to better survive, compete, and reproduce.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Verlag
Pages37-45
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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  • Cite this

    Mirjalili, S., & Dong, J. S. (2020). Non-dominated sorting genetic algorithm. In SpringerBriefs in Applied Sciences and Technology (pp. 37-45). (SpringerBriefs in Applied Sciences and Technology). Springer Verlag. https://doi.org/10.1007/978-3-030-24835-2_4