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Evolutionary Algorithms

Evolutionary Algorithms

 

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Editorial:
Springer Nature B.V.
Año de edición:
1999
Materia
Inteligencia artificial
ISBN:
9780387988269

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Sobre IBD

Genetic algorithms as multi-coordinators in large-scale optimization.- Telecommunication network optimization with genetic algorithms: A decade of practice.- Using evolutionary algorithms to search for control parameters in a nonlinear partial differential equation.- Applying genetic algorithms to real-world problems.- An overview of evolutionary programming.- A hierarchical genetic algorithm for system identification and curve fitting with a supercomputer implementation.- Experiences with the PGAPack parallel genetic algorithm library.- The significance of the evaluation function in evolutionary algorithms.- Genetic algorithm optimization of atomic clusters.- Search, binary representations and counting optima.- An investigation of GA performance results for different cardinality alphabets.- Genetic algorithms and the design of experiments.- Efficient parameter optimization based on combination of direct global and local search methods.- What are genetic algorithms? A mathematical prespective.- Survey of projects involving evolutionary algorithms sponsored by the Electric Power Research Institute.

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