A Brief Review of Nature-Inspired Algorithms for Optimization
Abstract
Swarm 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 efficient and thus have become popular tools for solving real-world problems. Some algorithms are insufficiently 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.
- Publication:
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arXiv e-prints
- Pub Date:
- July 2013
- DOI:
- 10.48550/arXiv.1307.4186
- arXiv:
- arXiv:1307.4186
- Bibcode:
- 2013arXiv1307.4186F
- Keywords:
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- Computer Science - Neural and Evolutionary Computing
- E-Print:
- Elektrotehni\v{s}ki vestnik, 80(3), 2013