Genetic Algorithms and Genetic Programming

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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Главные авторы:	Affenzeller, Michael, Wagner, Stefan, Winkler, Stephan, Beham, Andreas
Формат:	Online
Язык:	английский
Опубликовано:	Taylor & Francis 2025
Предметы:	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 thema EDItEUR::U Computing and Information Technology::UY Computer science thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
Online-ссылка:	ONIX_20250512_9781420011326_6
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Genetic Algorithms and Genetic Programming

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