Description: Introduction to Evolutionary Algorithms, Hardcover by Yu, Xinjie; Gen, Mitsuo, ISBN 184996128X, ISBN-13 9781849961288, Like New Used, Free shipping in the US Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as:• genetic algorithms,• differential evolution,• swarm intelligence, and• artificial immune reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
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Book Title: Introduction to Evolutionary Algorithms
Number of Pages: Xvi, 422 Pages
Publication Name: Introduction to Evolutionary Algorithms
Language: English
Publisher: Springer London, The Limited
Subject: Programming / General, Programming / Algorithms, Intelligence (Ai) & Semantics, Neural Networks, System Theory, Databases / General
Publication Year: 2010
Type: Textbook
Item Weight: 61 Oz
Author: Xinjie Yu
Subject Area: Computers, Science
Item Length: 9.3 in
Item Width: 6.1 in
Series: Decision Engineering Ser.
Format: Hardcover
