Description
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithms developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as platforms for algorithms development.
The book focuses on both theoretical and empirical aspects, The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors.
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