Evolutionary algorithms are bio-inspired algorithms based on Darwin's theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.

In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms.

Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.

About the Author

Alain PETROWSKI is Associate Professor in the Department of Networks and Mobile Multimedia Services at the Telecom-SudParis, Institut Mines-Telecom, Paris-Saclay University, France. His main research interests are related to optimization, metaheuristics and machine learning.

Reviews

In general, Petrowski and Ben-Hamid display an in-depth understanding of several optimization classes and their corresponding evolutionary algorithms, along with an impressive ability to explain, illustrate, motivate, classify and codify. Although nobody can "do it all" in a field as deep and wide as evolutionary computation, they have chosen a pertinent subset and done a fine job with it. My own copy of "Evolutionary Algorithms" became an instant go-to reference as I prepare for another semester of teaching.
(Genetic Programming and Evolvable Machines, December 2018)

Book Information
ISBN 9781848218048
Author Alain Petrowski
Format Hardback
Page Count 256
Imprint ISTE Ltd and John Wiley & Sons Inc
Publisher ISTE Ltd and John Wiley & Sons Inc
Weight(grams) 363g
Dimensions(mm) 239mm * 155mm * 20mm