Introduction to Nature-Inspired Optimization [Paperback]

Description: Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work. Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization.

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EAN: 9780128036365

UPC: 9780128036365

ISBN: 9780128036365

MPN: N/A

Book Title: Introduction to Nature-Inspired Optimization [Pape

Item Length: 23.1 cm

Number of Pages: 256 Pages

Publication Name: Introduction to Nature-Inspired Optimization

Language: English

Publisher: Elsevier Science Publishing Co Inc

Item Height: 235 mm

Subject: Mathematics

Publication Year: 2017

Type: Textbook

Item Weight: 520 g

Author: John Penny, George Lindfield

Item Width: 191 mm

Format: Paperback