Genetic Algorithms and Genetic Programming : Modern Concepts and Practical Applications

Affenzeller, Michael; Wagner, Stefan; Winkler, Stephan; Beham, Andreas

doi:10.1201/9781420011326

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https://oapen-dev.siscern.org/bitstream/20.500.12657/101465/1/9781420011326.pdf

Author(s)

Affenzeller, Michael

Wagner, Stefan

Winkler, Stephan

Beham, Andreas

Language

English

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Abstract

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 al

URI

https://doab-dev.siscern.org/handle/20.500.12854/205408

Keywords

Michael Affenzeller; genetic algorithms; genetic programming; GA Theory; GP Schema theories; time series analysis; population diversity; Heuristic lab; Crossover Operators; Standard GA; Capacitated Vehicle Routing Problem; Building Block Hypothesis; Global Optimal Solution; Schema Theorem; Combinatorial Optimization Problems; GP Population; GP Test; Data Set; Island Model; GA Application; Parallel GAs; Roc Curve; Solution Candidates; VRP; Sequential GA; Melanoma Data Set; Parent Tours; M2 M1; Linear Rank Selection