Metaheuristic optimization: nature-inspired algorithms swarm and computational intelligence, theory and applications

DOI10.1007/978-3-030-61111-8zbMATH Open1492.90002OpenAlexW3104845729MaRDI QIDQ2213682

Lagouge K. Tartibu, Modestus O. Okwu

Publication date: 2 December 2020

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://www.springer.com/gp/book/9783030611101?utm_campaign=3_lao3883_nbp&utm_content=2011_en_pdf&utm_medium=catalog&utm_source=business-shop

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Approximation methods and heuristics in mathematical programming (90C59) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming (90-01)

Related Items (4)

Search and Optimization by Metaheuristics ⋮ Recent Advances of Nature-Inspired Metaheuristic Optimization ⋮ Nature-inspired approach: an enhanced moth swarm algorithm for global optimization ⋮ Combination of parallel and cascade control on the example of two rotor aerodynamical system with the use of FOPID and PID controllers

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