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
Evolutionary Computation for Modeling and Optimization
✍ Scribed by Daniel Ashlock
- Book ID
- 127445665
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 8 MB
- Series
- Interdisciplinary Applied Mathematics
- Edition
- 1
- Category
- Library
- City
- New York
- ISBN
- 0387221964
No coin nor oath required. For personal study only.
✦ Synopsis
Evolutionary computation includes Genetic Algorithms, Evolutionary Programming, Evolution Strategies, and Genetic Programming. In general any population based, selectionist algorithm that performs optimization or supports modeling is a form of evolutionary computation. This text covers primarily genetic algorithms and genetic programming as well as variations based on student projects and the author's research. It substantially reflects engineering (problem solving) rather than mathematical (theorem proving) methods. This book should appeal to undergraduates and beginning graduates inmathematics, computer science, engineering and biology.
✦ Subjects
Эволюционные алгоритмы
📜 SIMILAR VOLUMES
This book constitutes the refereed proceedings of the three confederated conferences CoopIS 2002, DOA 2002, and ODBASE 2002, held in Irvine, CA, USA, in October/November 2002. The 77 revised full papers and 10 posters presented were carefully reviewed and selected from a total of 291 submissions. Th