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Get Free AccessSwarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based on swarm intelligence, biological systems, physical and chemical systems. Therefore, these algorithms can be called swarm-intelligence-based, bio-inspired, physics-based and chemistry-based, depending on the sources of inspiration. Though not all of them are efficient, a few algorithms have proved to be very effi cient and thus have become popular tools for solving real-world problems. Some algorithms are insuffici ently studied. The purpose of this review is to present a relatively comprehensive list of all the algorithms in the literature, so as to inspire further research.
Iztok Fister, Xin-she Yang, Janez Brest (2013). A Brief Review of Nature-Inspired Algorithms for Optimization. arXiv (Cornell University)
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Type
Article
Year
2013
Authors
3
Datasets
0
Total Files
0
Language
English
Journal
arXiv (Cornell University)
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