GENETIC ALGORITHMS. COMPENDIUM VOL. 2

Enter the fascinating world of genetic algorithms with the second volume of the compendium! This book is an indispensable source of knowledge for anyone interested in numerical optimization and looking for effective methods for solving problems. Discover the richness of mutation operators and explore the secrets of their operation.

• Over 140 mutation operators for numerical optimization
• Detailed discussion of deterministic, adaptive and self-adaptive approaches
• Practical tips on selecting parameters to control the mutation process
• Examples of applications of mutation operators in problems coded with binary and real numbers
• Comprehensive approach to the issue of mutation in genetic algorithms
• Up-to-date knowledge in the field of genetic algorithms
• Invaluable source for students, scientists and practitioners

The compendium presents over 140 mutation operators designed to solve numerical optimization problems. The structure of the book refers to the structure of volume 1, but this time a simple division into operators dedicated to solving problems coded with binary and real numbers was no longer sufficient. Research work devoted to the mutation operator is not limited to developing its new, often dedicated, form. One of the main questions asked in the context of this operator is the question of the probability of its application and the scale of perturbation introduced by this operator, which is why three of the seven chapters of the book are devoted to this issue.

Ultimately, the structure of the book is as follows. The first three chapters present suggestions, formulas and methods used in determining the values of parameters controlling the mutation process. The most popular division into deterministic static and dynamic approaches, adaptive dynamic approaches and self-adaptive approaches was used. The last two chapters present mutation operators developed for problems coded with binary and real numbers.

PWN is a renowned scientific publishing house that has been providing readers with valuable literature from various fields for years. Their publications are characterized by a high level of content and careful editorial preparation. By choosing a PWN book, you can be sure that you are reaching for a proven source of knowledge.

This book is an ideal choice for students, scientists and practitioners who want to expand their knowledge of genetic algorithms and their applications. Thanks to it, you will gain solid theoretical foundations and practical skills that will allow you to effectively solve optimization problems in various fields.