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Nature-Inspired Optimization Algorithms

Description: Nature-Inspired Optimization Algorithms, Second Edition provides an 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 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, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications.

Price: 263 AUD

Location: Hillsdale, NSW

End Time: 2024-12-26T20:24:55.000Z

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EAN: 9780128219867

UPC: 9780128219867

ISBN: 9780128219867

MPN: N/A

Book Title: Nature-Inspired Optimization Algorithms

Item Length: 23.1 cm

Number of Pages: 310 Pages

Publication Name: Nature-Inspired Optimization Algorithms

Language: English

Publisher: Elsevier Science Publishing Co Inc

Item Height: 229 mm

Subject: Engineering & Technology

Publication Year: 2020

Type: Textbook

Item Weight: 570 g

Subject Area: Bioengineering

Author: Xin-She Yang

Item Width: 152 mm

Format: Paperback

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