Fundamentals of Evolutionary Optimization: Single‐ and Multiobjective Problems
Carlos A. Coello Coello, Raquel Hernández Gómez, Luis Miguel Antonio · Wiley Encyclopedia of Electrical and Electronics Engineering · 2018
Abstract In this chapter, we describe the basics of evolutionary algorithms and their use in optimization. First, some generalities about evolutionary algorithms are provided, including a brief description of the components of the four main types of algorithms considered for the purposes of this chapter: (i) genetic algorithms, (ii) evolution strategies, (iii) evolutionary programming, and (iv) differential evolution. For the sake of brevity, this article focuses only on the use of evolutionary algorithms in numerical optimization. The discussion includes the use of evolutionary algorithms in both single‐ and multiobjective optimization and also includes aspects such as their variation operators, selection mechanism, and some of their applications.