Ant colony optimizer: Theory, literature review, and application in AUV path planning

Seyedali Mirjalili, Jin Song Dong, Andrew Lewis

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

This chapter starts with the inspiration and main mechanisms of one of the most well-regarded combinatorial optimization algorithms called Ant Colony Optimizer (ACO). This algorithm is then employed to find the optimal path for an AUV. In fact, the problem investigated is a real-world application of the Traveling Salesman Problem (TSP).

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages7-21
Number of pages15
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume811
ISSN (Print)1860-949X

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  • Cite this

    Mirjalili, S., Song Dong, J., & Lewis, A. (2020). Ant colony optimizer: Theory, literature review, and application in AUV path planning. In Studies in Computational Intelligence (pp. 7-21). (Studies in Computational Intelligence; Vol. 811). Springer Verlag. https://doi.org/10.1007/978-3-030-12127-3_2