Genetic Algorithms + Data Structures = Evolution Programs, 3e

Book Details

• Author: Zbigniew Michalewicz

• Binding: Paperback

• Number of Pages: 407

• Release Date: 01-12-2008

• ISBN: 9788184890655

• Package Dimensions: 8.9 x 5.9 x 0.7 inches

• Languages: English

About the Book

"Genetic Algorithms + Data Structures = Evolution Programs" by Zbigniew Michalewicz is an essential guide to understanding and implementing genetic algorithms (GAs) — a branch of evolutionary computation that draws inspiration from the process of natural evolution. This third edition of the book presents an in-depth exploration of how genetic algorithms can solve complex optimization problems.

Genetic algorithms are rooted in the principle of evolution, specifically the idea of survival of the fittest. These algorithms have proven highly effective in solving a variety of hard optimization problems, including those with linear and nonlinear constraints, the traveling salesman problem, as well as scheduling, partitioning, and control problems. The book illustrates how these evolutionary techniques, which can process parallel computations, make them highly suited to modern parallel computing systems, a key advantage in advancing computer science.

The third edition of this book has been substantially revised and extended, incorporating three new chapters that cover the latest developments in evolutionary computation. Additional appendices with working material provide readers with the tools needed to apply these algorithms in practical scenarios. The book is self-contained, with only basic undergraduate mathematics required to understand the concepts.

Key Features:

• Detailed coverage of genetic algorithms and their application to complex optimization problems

• Three new chapters and updated content reflecting recent developments in the field of evolutionary computation

• Self-contained with only basic mathematics required for understanding

• Focuses on the power of parallelism in solving large-scale computational problems

• Ideal for students, researchers, and professionals seeking a comprehensive guide to genetic algorithms and their practical applications

• Extensive appendices providing working material for hands-on learning and application

Whether you're a student or professional in computer science, mathematics, or engineering, this book is an indispensable resource for mastering genetic algorithms and applying them to real-world problems.