From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2016Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Computer, volume 49, pages 52-59 (issn: 0018-9162,

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Authors: Xin-She Yang 0001; Suash Deb; Simon Fong 0001; Xingshi He; Yuxin Zhao 0001;

doi: 10.1109/mc.2016.292

From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms

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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.

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