Social Algorithms and Optimization
Xin-She Yang ()
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Xin-She Yang: Middlesex University, Department of Design Engineering and Maths, School of Science and Technology
Chapter 64 in Handbook of the Mathematics of the Arts and Sciences, 2021, pp 1637-1659 from Springer
Abstract:
Abstract Social algorithms have become popular and effective for solving problems in optimization and computational intelligence. They are population-based algorithms using multiple, interacting, and coevolving agents. We will review the brief history and introduce some of the commonly used social algorithms. We will also analyze these algorithms and then highlight some open problems so as to inspire further research.
Keywords: Algorithm; Ant colony optimization; Bat algorithm; Cuckoo search; Firefly algorithm; Particle swarm optimization; Metaheuristic; Nature-inspired computation; Optimization; Self-organization; Social algorithm; Swarm intelligence (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-57072-3_105
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DOI: 10.1007/978-3-319-57072-3_105
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