Can I read Introduction to Evolutionary Algorithms (Decision Engineering) on EtoBox?

Introduction to Evolutionary Algorithms (Decision Engineering) by Mitsuo Gen; Xinjie Yu is a nonfiction available to read on EtoBox.

What is Introduction to Evolutionary Algorithms (Decision Engineering) about?

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 systems. The 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 industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional feature

Who reads Introduction to Evolutionary Algorithms (Decision Engineering)?

Author

Mitsuo Gen; Xinjie Yu

Publisher

Springer-Verlag London

Published

2010

Language

EN

ISBN

9781282981928

Category

nonfiction

Subjects

Management, Engineering, Mathematics