Click Here to Download: https://ouo.io/rf0Y8A Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications Modern Concepts and Practical Applications By: Michael Affenzeller; Stefan Wagner; Stephan Winkler; Andreas Beham Publisher: Chapman and Hall/CRC Print ISBN: 9781584886297, 1584886293 eText ISBN: 9781420011326, 1420011324 Edition: 1st Copyright year: 2009 Format: PDF Available from $ 31.98 USD SKU 9781420011326R90 Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic 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 a platform for algorithm 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. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems. Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality. Additional ISBNs 9781322622774, 9781138114272, 1322622779, 1138114278
