By Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham
Genetic Algorithms and Genetic Programming: sleek recommendations and functional Applications discusses algorithmic advancements within the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to major combinatorial optimization difficulties and describes constitution identity utilizing HeuristicLab as a platform for set of rules development.
The ebook specializes in either theoretical and empirical facets. The theoretical sections discover the $64000 and attribute houses of the elemental GA in addition to major features of the chosen algorithmic extensions built through the authors. within the empirical elements of the textual content, the authors observe gasoline to 2 combinatorial optimization difficulties: the touring salesman and capacitated motor vehicle routing difficulties. to spotlight the homes of the algorithmic measures within the box of GP, they study GP-based nonlinear constitution id utilized to time sequence and class difficulties.
Written through center individuals of the HeuristicLab workforce, this publication offers a greater figuring out of the elemental workflow of gasoline and GP, encouraging readers to set up new bionic, problem-independent theoretical ideas. via evaluating the result of usual GA and GP implementation with numerous algorithmic extensions, it additionally exhibits find out how to considerably raise possible answer quality.
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Additional resources for Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications (Numerical Insights)
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications (Numerical Insights) by Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham