A01=A. Dumitrescu
A01=Beatrice Lazzerini
A01=D. Dumitrescu
A01=Lakhmi C. Jain
adaptive parameter tuning
Author_A. Dumitrescu
Author_Beatrice Lazzerini
Author_D. Dumitrescu
Author_Lakhmi C. Jain
automated scheduling systems
Boltzmann Selection
Building Block Hypothesis
Canonical Genetic Algorithm
Category=UMB
Category=UYQM
Cauchy Mutations
Cellular Automata
computational intelligence
Delta Coding
EC
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Evolutionary Algorithm
Evolutionary Computation Approach
evolutionary computation for control systems
Fitness Function
Fuzzy Controllers
General Evolutionary Algorithm
Genetic Algorithms
Inversion Operator
Learning Classifier Systems
Mutation Operator
neural network training
Non-uniform Mutation
optimization algorithms
pattern recognition methods
Population P2
Proportional Selection
Recombination Operator
Schema Theorem
Search Space Dimension
Simple Genetic Algorithm
Strategy Control Parameters
Strategy Parameters
Product details
- ISBN 9780849305887
- Weight: 743g
- Dimensions: 156 x 234mm
- Publication Date: 22 Jun 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation.
Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses the (m+l) and (m,l) evolution strategy principles. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more.
Beatrice Lazzerini, D. Dumitrescu, Lakhmi C. Jain. A. Dumitrescu
