Evolutionary Algorithms

By Lawrence David Davis, Ioannis T. Christou, L. Darrell W

Book 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.

• Format: Hardcover
• Language: English
• ISBN: 0387988262
• ISBN13: 9780387988269
• Release Date: June 1999
• Publisher: Springer
• Length: 316 Pages
• Weight: 1.36 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"