Genetic algorithms and genetic programming modern concepts and practical applications

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 iden...

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Hlavní autor:	Affenzeller, Michael
Médium:	E-kniha Kniha
Jazyk:	angličtina
Vydáno:	Boca Raton CRC Press 2009 Chapman & Hall/CRC Taylor & Francis CRC Press LLC
Vydání:	1
Edice:	Numerical Insights
Témata:	Algorithms Algorithms and data structures Building Block Hypothesis Capacitated Vehicle Routing Problem Combinatorial optimization Combinatorial Optimization Problems Computer programming / software engineering Computer science Computer Technology Computing and Information Technology Crossover Operators curve Data mining Evolutionary computation formula GA Application GA Theory Genetic algorithms genetic programming Genetic programming (Computer science) Global Optimal Solution GP Population GP Schema theories GP Test Heuristic lab Information technology: general topics Island Model Linear Rank Selection M2 M1 Melanoma Data Set Michael Affenzeller Nonfiction Parallel GAs parent Parent Tours population population diversity Programming (Mathematics) roc Roc Curve Schema Theorem selection Sequential GA series size Solution Candidates Standard GA test time series analysis training VRP parent GP Test curve Crossover Operators roc Parent Tours Data Set training Roc Curve Linear Rank Selection Island Model VRP Capacitated Vehicle Routing Problem Savings Heuristic GP Population GA Application test Schema Theorem Sequential GA TSP Instance Building Block Hypothesis Parallel GAs M2 M1 population Global Optimal Solution Solution Candidates Melanoma Data Set size selection series Combinatorial Optimization Problems formula Standard GA Genetic Algorithms Test Series
ISBN:	1584886293, 9781584886297, 1138114278, 9781138114272, 0429141971, 9780429141973, 9781040044254, 1040044255, 9781420011326, 1420011324
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