Summary Genetic Algorithms and Genetic Programming in Practice Efficient Algorithm Design in a Flexible Development Platform Numerical Insights
Genetic Algorithms and Genetic Programming in Practice Efficient Algorithm Design in a Flexible Development Platform Numerical Insights Read & Download ↠ 108 ã Genetic Algorithms and Genetic Programming Modern Concepts and E identification applied to time series and classification problemsWritten 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 uali.
Michael Affenzeller ✓ 8 Read & Download
S 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 structur.
characters ☆ eBook, ePUB or Kindle PDF ✓ Michael Affenzeller
Genetic Algorithms and Genetic Programming in Practice Efficient Algorithm Design in a Flexible Development Platform Numerical InsightsGenetic 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 developmentThe book focuses on both theoretical and empirical aspects The theoretical section.