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Genetic Algorithms and Genetic Programming
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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
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Keywords
- Building Block Hypothesis
- Capacitated Vehicle Routing Problem
- Combinatorial Optimization Problems
- Crossover Operators
- Data set
- GA Application
- GA Theory
- Genetic algorithms
- genetic programming
- Global Optimal Solution
- GP Population
- GP Schema theories
- GP Test
- Heuristic lab
- Island Model
- Linear Rank Selection
- M2 M1
- Melanoma Data Set
- Michael Affenzeller
- Parallel GAs
- Parent Tours
- Population diversity
- ROC curve
- Schema Theorem
- Sequential GA
- Solution Candidates
- Standard GA
- thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
- thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- Time Series Analysis
- VRP
Links
DOI: 10.1201/9781420011326Editions