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Knowledge Incorporation in Evolutionary Computation Book

Knowledge Incorporation in Evolutionary Computation
Knowledge Incorporation in Evolutionary Computation, , Knowledge Incorporation in Evolutionary Computation has a rating of 3 stars
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  • Knowledge Incorporation in Evolutionary Computation
  • Written by author Yaochu Jin
  • Published by Springer-Verlag New York, LLC, October 2007
  • This carefully edited book puts together the state-of-the-art and recent advances in knowledge incorporation in evolutionary computation within a unified framework. The book provides a comprehensive self-contained view of knowledge incorporation in evolut
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Book Categories

Authors

A selected introduction to evolutionary computation3
The use of collective memory in genetic programming15
A cultural algorithm for solving the job shop scheduling problem37
Case-initialized genetic algorithms for knowledge extraction and incorporation57
Using cultural algorithms to evolve strategies in a complex agent-based system81
Methods for using surrogate models to speed up genetic algorithm optimization : informed operators and genetic engineering103
Fuzzy knowledge incorporation in crossover and mutation123
Learning probabilistic models for enhanced evolutionary computation147
Probabilistic models for linkage learning in forest management177
Performance-based computation of chromosome lifetimes in genetic algorithms195
Genetic algorithm and case-based reasoning applied in production scheduling215
Knowledge-based evolutionary search for inductive concept learning237
An evolutionary algorithm with Tabu restriction and heuristic reasoning for multiobjective optimization255
Neural networks for fitness approximation in evolutionary optimization281
Surrogate-assisted evolutionary optimization frameworks for high-fidelity engineering design problems307
Model assisted evolution strategies333
Knowledge incorporation through lifetime learning359
Local search direction for multi-objective optimization using memetic EMO algorithms385
Fashion design using interactive genetic algorithm with knowledge-based encoding411
Interactive evolutionary design435
Integrating user preferences into evolutionary multi-objective optimization461
Human preferences and their applications in evolutionary multi-objective optimization479
An interactive fuzzy satisficing method for multiobjective integer programming problems through genetic algorithms503
Interactive preference incorporation in evolutionary engineering design525


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