<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>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.</p> <p>In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms.</p> <p>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.</p><p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>In general, Petrowski and Ben-Hamid display an in-depth understanding of several</p> <p>optimization classes and their corresponding evolutionary algorithms, along with an</p> <p>impressive ability to explain, illustrate, motivate, classify and codify. Although nobody</p> <p>can "do it all" in a field as deep and wide as evolutionary computation, they have chosen</p> <p>a pertinent subset and done a fine job with it. My own copy of "Evolutionary Algorithms"</p> <p> </p> <p>became an instant go-to reference as I prepare for another semester of teaching.<br /><br />( Genetic Programming and Evolvable Machines</i>, December 2018)</p> <p> </p> <p> </p><br><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Alain PÉTROWSKI</b> is Associate Professor in the Department of Networks and Mobile Multimedia Services at the Telecom-SudParis, Institut Mines-Télécom, Paris-Saclay University, France. His main research interests are related to optimization, metaheuristics and machine learning.</p>
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