From swarm intelligence to metaheuristics: nature-inspired optimization algorithms
Article
Yang, X., Deb, S., Fong, S., He, X. and Zhao, Y. 2016. From swarm intelligence to metaheuristics: nature-inspired optimization algorithms. Computer. 49 (9), pp. 52-59. https://doi.org/10.1109/MC.2016.292
Type | Article |
---|---|
Title | From swarm intelligence to metaheuristics: nature-inspired optimization algorithms |
Authors | Yang, X., Deb, S., Fong, S., He, X. and Zhao, Y. |
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. |
Publisher | IEEE |
Journal | Computer |
ISSN | 0018-9162 |
Electronic | 1558-0814 |
Publication dates | |
Online | 07 Sep 2016 |
Sep 2016 | |
Publication process dates | |
Deposited | 28 Oct 2016 |
Accepted | 01 Aug 2016 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | 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. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/MC.2016.292 |
Web of Science identifier | WOS:000384132600008 |
Language | English |
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