From swarm intelligence to metaheuristics: nature-inspired optimization algorithms

Yang, Xin-She, Deb, Suash, Fong, Simon, He, Xingshi and Zhao, Yu-Xin (2016) From swarm intelligence to metaheuristics: nature-inspired optimization algorithms. Computer, 49 (9). pp. 52-59. ISSN 0018-9162

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Abstract

Nature has provided rich models for computational problem solving, including optimizations based on the swarm intelligence exhibited by fireflies, bats, and ants. These models can stimulate computer scientists to think nontraditionally in creating tools to address application design challenges.

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 20852
Notes on copyright: Attached full text: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Xin-She Yang
Date Deposited: 28 Oct 2016 08:20
Last Modified: 02 Apr 2019 18:21
URI: https://eprints.mdx.ac.uk/id/eprint/20852

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