Evolutionary Algorithms (eBook, PDF)

Redaktion: Davis, Lawrence D.; Whitley, L. Darrell; Vose, Michael D.; De Jong, Kenneth

• Format: PDF

Produktbeschreibung

This volume is based on the proceedings of a workshop, Evolutionary Algorithms, that was an integral part of the 1996-97 IMA program on Mathematics in High-Performance Computing. It brought together top researchers working in the area of Evolutionary Computation for a week of intensive interaction. Some very surprising and impressive applications were presented at the workshop, including data decomposition, deriving control parameters for modeling systems using partial differential equations, and even new best known solutions to bin packing problems. The workshop did a great deal to clarify the current state of the theory in Evolutionary algorithms and was useful for bringing people together and strengthening the evolutionary

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 293
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461215424
• Artikelnr.: 44175951

Inhaltsangabe

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.