1. Evolutionary Algorithms. 2. Continuous Optimization. 3. Constrained Continuous Evolutionary Optimization. 4. Combinatorial Optimization. 5. Multi-objective Optimization. 6. Genetic Programming for Machine Learning.
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.
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
( Genetic Programming and Evolvable Machines, December 2018)