liceoartisticolisippo-ta
» » Advances in Genetic Programming, Vol. 2 (Complex Adaptive Systems)

Advances in Genetic Programming, Vol. 2 (Complex Adaptive Systems) ebook

by Peter J. Angeline,Kenneth E. Kinnear Jr.


FREE shipping on qualifying offers. Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures.

FREE shipping on qualifying offers.

The second volume of "Advances in Genetic Programming" highlights many of the most recent technical advances in this increasingly popular field

The second volume of "Advances in Genetic Programming" highlights many of the most recent technical advances in this increasingly popular field. The twenty-three contributions are divided into four parts: Variations on the Genetic Programming Theme; Hierarchical, Recursive, and Pruning Genetic Programs; Analysis and Implementation Issues; and New Environments for Genetic Programming.

Kenneth L. Kinnear, J. Kenneth E. Kinnear, Peter J. Angeline

Kenneth L. Angeline. Advances in Genetic Programming reports significant results in improving the power of genetic programming, presenting techniques that can be employed immediately in the solution of complex problems in many areas, including machine learning and the simulation of autonomous behavior.

The second volume of Advances in Genetic Programming highlights many of the most recent technical advances in this increasingly popular field. Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications.

This series examines the processes and models of complex adaptive . This series is no longer active, and the MIT Press is no longer accepting proposals for books in the series. Peter J. Angeline and Kenneth E. Kinnear, Jr.

This series examines the processes and models of complex adaptive systems, such as ecosystems, the cell and biological systems, cities, markets, and governments. Books in this Series. 1996.

Angeline, Two self-adaptive crossover operators for genetic programming. In Advances in Genetic Programming 2, ch. 5, ed. by . (MIT Press, Cambridge, MA, 1996), pp. 89–110Google Scholar. 4. F. Archetti, S. Lanzeni, E. Messina, L. Vanneschi, Genetic programming for computational pharmacokinetics in drug discovery and development.

Advances in genetic programming. Kinnear, Kenneth E. Publication date.

oceedings{Angeline1996TwoSC, title {Two self-adaptive crossover operators for genetic programming} .

oceedings{Angeline1996TwoSC, title {Two self-adaptive crossover operators for genetic programming}, author {Peter J. Angeline}, year {1996} }. This chapter contains sections titled: Introduction: Adaptive and Self-Adaptive Evolutionary Computations, A Nonstandard Genetic Program, Two Self-Adaptive Crossover Operators, Experiments, Results, Postmortem Parameter Analysis, Discussion, Conclusion. View PDF. Save to Library.

Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlights many of the most recent technical advances in this increasingly popular field.

Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlights many of the most recent technical advances in this increasingly popular field. The twenty-three contributions are divided into four parts: Variations on the Genetic Programming Theme; Hierarchical, Recursive, and Pruning Genetic Programs; Analysis and Implementation Issues; and New Environments for Genetic Programming. The first part extends the core concepts of genetic programming through the addition of new evolutionary techniques―adaptive and self-adaptive crossover methods, hill climbing operators, and the inclusion of introns into the representation. Creating more concise executable structures is a long-term research topic in genetic programming. The second part describes the field's most recent efforts, including the dynamic manipulation of automatically defined functions, evolving logic programs that generate recursive structures, and using minimum description length heuristics to determine when and how to prune evolving structures. The third part takes up the many implementation and analysis issues associated with evolving programs. Advanced applications of genetic programming to nontrivial real-world problems are described in the final part: remote sensing of pressure ridges in Arctic sea ice formations from satellite imagery, economic prediction through model evolution, the evolutionary development of stress and loading models for novel materials, and data mining of a large customer database to optimize responses to special offers.

Advances in Genetic Programming, Vol. 2 (Complex Adaptive Systems) ebook
Author:
Peter J. Angeline,Kenneth E. Kinnear Jr.
Category:
Computer Science
Subcat:
EPUB size:
1246 kb
FB2 size:
1898 kb
DJVU size:
1284 kb
Language:
Publisher:
A Bradford Book (October 29, 1996)
Pages:
538 pages
Rating:
4.9
Other formats:
lrf mbr txt lit
© 2018-2020 Copyrights
All rights reserved. liceoartisticolisippo-ta.it | Privacy Policy | DMCA | Contacts