Evolutionary Algorithms
Overview
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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Details
- ISBN-13: 9780387988269
- ISBN-10: 0387988262
- Publisher: Springer
- Publish Date: June 1999
- Dimensions: 9.21 x 6.14 x 0.75 inches
- Shipping Weight: 1.36 pounds
- Page Count: 316
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