Nature-inspired optimizers : theories, literature reviews and applications / Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors.

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Nature-inspired optimizers : theories, literature reviews and applications / Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors.

9783030121273 (electronic book)
3030121275 (electronic book)
9783030121266

https://doi.org/10.1007/978-3-030-12127-3
https://doi.org/10.1007/978-3-030-12

Cham, Switzerland : Springer, 2020.

English

1 online resource (xvi, 238 pages) : illustrations.

10.1007/978-3-030-12127-3 doi
10.1007/978-3-030-12

TA347.E96

006.3/823

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Includes bibliographical references.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed March 12, 2019).

Studies in computational intelligence ; v. 811.

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