Evolutionary Computation for Modeling and Optimization

• Main Author: Ashlock, Daniel (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2006.
• Subjects: Mathematics.; Artificial intelligence.; Bioinformatics.; Applied mathematics.; Engineering mathematics.; Algorithms.; Applications of Mathematics.; Artificial Intelligence (incl. Robotics).

Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduce...

Table of Contents:

• An Overview of Evolutionary Computation
• Designing Simple Evolutionary Algorithms
• Optimizing Real-Valued Functions
• Sunburn: Coevolving Strings
• Small Neural Nets : Symbots
• Evolving Finite State Automata
• Ordered Structures
• Plus-One-Recall-Store
• Fitting to Data
• Tartarus: Discrete Robotics
• Evolving Logic Functions
• ISAc List: Alternative Genetic Programming
• Graph-Based Evolutionary Algorithms
• Cellular Encoding
• Application to Bioinformatics.