£64.99

Elsevier Nature-Inspired Optimization Algorithms

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£65.79 £62.49 £63.21 £63.93 £64.65 £65.37 £66.09 09 June 2024 15 November 2024 23 April 2025 29 September 2025 08 March 2026

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Description

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 June 2016
Listed Since
13 May 2016

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