Okładka

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...

Szczegółowa specyfikacja

Zapisane w:
Główni autorzy: Affenzeller, Michael, Wagner, Stefan, Winkler, Stephan, Beham, Andreas
Format: Online
Język:angielski
Wydane: Taylor & Francis 2025
Hasła przedmiotowe:
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
Dostęp online:ONIX_20250512_9781420011326_6
Etykiety: Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!
Streszczenie: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

Podobne zapisy