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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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Main Authors: Affenzeller, Michael, Wagner, Stefan, Winkler, Stephan, Beham, Andreas
格式: Online
語言:英语
出版: Taylor & Francis 2025
主題:
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
在線閱讀:ONIX_20250512_9781420011326_6
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