Evolutionary Paradigms
Franciszek Seredyński · Kluwer Academic Publishers eBooks · 2006
In recent years, evolutionary computation (EC) techniques have became one of the most popular heuristic search methods successively applied to solve complex research and real-life problems. This chapter presents an overview of the field of EC. Main concepts of biological evolution and some biological paradigms are shown, their influence on EC is discussed, and a general computational scheme currently used in EC is presented. The best recognized classes of EC algorithms are described, such as Evolution Strategies, Genetic Algorithms, Genetic Programming, Evolutionary Programming , and Learning Classifier Systems . However, the main emphasise is on the class of Genetic Algorithms (GAs). Mechanisms of controlling evolutionary process in GAs are discussed, the most known variants of GAs are presented, and current issues of development of GAs are considered. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.