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Evolutionary Algorithms
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Table of Contents

1. Evolutionary Algorithms. 2. Continuous Optimization. 3. Constrained Continuous Evolutionary Optimization. 4. Combinatorial Optimization. 5. Multi-objective Optimization. 6. Genetic Programming for Machine Learning.

About the Author

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

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In general, Petrowski and Ben-Hamid display an in-depth understanding of severaloptimization classes and their corresponding evolutionary algorithms, along with animpressive ability to explain, illustrate, motivate, classify and codify. Although nobodycan "do it all" in a field as deep and wide as evolutionary computation, they have chosena 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)

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