algorithm
algorithms
Category=PB
Category=UB
coevolutionary models
constraint satisfaction
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fitness
function
genetic
multiobjective evolutionary optimisation
niching techniques
objective
operators
parameter control
penalty methods
population diversity
recombination
strategies
traveling
Product details
- ISBN 9781138413078
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 27 Jul 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Evolutionary Computation 2: Advanced Algorithms and Operators expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms. It is intended to be used by individual researchers and students in the expanding field of evolutionary computation.
