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A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-Heuristics, and Swarm Intelligence

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Advances in Swarm Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1054))

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Abstract

This chapter provides preliminaries and essential definitions in optimization, meta-heuristics, and swarm intelligence. It starts with different components of optimization problems, formulations, and categories. Conventional and recent optimization algorithms to optimize such problems are then discussed. The chapter is finished by focusing on meta-heuristics and swarm intelligence algorithms as the emerging and most widely used optimization algorithms lately in both science and industry.

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Correspondence to Seyedali Mirjalili .

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Mirjalili, S., Kalayci, C.B., Biswas, A. (2023). A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-Heuristics, and Swarm Intelligence. In: Biswas, A., Kalayci, C.B., Mirjalili, S. (eds) Advances in Swarm Intelligence. Studies in Computational Intelligence, vol 1054. Springer, Cham. https://doi.org/10.1007/978-3-031-09835-2_1

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