Proceedings of the First International Conference on Genetic Algorithms and their Applications
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Adaptive Genetic Algorithms
adaptive search techniques
Bin Packing
Bucket Brigade
Bucket Brigade Algorithm
Category C3
Category=PSAK
classifier systems
Classifier Taxa
convergence
Crossover Operator
default
dynamic system control
Early Simulation Results
Eligibility Set
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
evolutionary computation for engineering problems
false
Genetic Algorithms
Genetic Operators
incoming
Inversion Operator
knowledge
Knowledge Acquisition
LCS.
learned
Message List
multiclass pattern discrimination
peak
population genetics modeling
premature
Probabilistic Decision Rule
Simple Crossover
Simple Genetic Algorithm
Simulated Annealing
Standard Genetic Operators
structures
symbolic layout optimization
task
Traditional GA
Traveling Salesman Problem
Vector Evaluated Genetic Algorithm
Vice Versa
Product details
- ISBN 9780805804263
- Weight: 430g
- Dimensions: 156 x 234mm
- Publication Date: 01 Jul 1985
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence.
