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Genetic Algorithms
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Overview: Genetic algorithms (GAs) are search procedures that use the mechanics of natural selection and natural genetics. The genetic algorithm, first developed by John H. Holland in the 1960's, allows computers to solve difficult problems. It uses evolutionary techniques, based on function optimization and artificial intelligence, to develop a solution. The basic operation of a genetic algorithm is simple. First a population of possible solutions to a problem are developed. Next, the better solutions are recombined with each other to form some new solutions. Finally the new solutions are used to replace the poorer of the original solutions and the process is repeated. Glossary Link - Genetic Algorithms
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Genetic Algorithms Information on the Internet
| CMU Genetic Algorithms Index | Genetic algorithms and genetic programming, archives for the comp.ai.genetic newsgroup, FAQ, papers, and source code for genetic programming examples. |
| Gaucsd | Genetic algorithm package (HP-UX 8.07 Source Code). |
| Genetic Algorithms (GA) Archive | The Genetic Algorithms Archive includes past issues of the GA-digest, source code for many GA implementations, and announcements about GA-related conferences. Links to sites around the world with material related to evolutionary computation. The second directory contains source code for GA. |
| Genetic Algorithms FAQ | Genetic algorithms and genetic programming, archives for the comp.ai.genetic newsgroup. |
| Genetic Algorithms FAQ | Genetic algorithms and genetic programming, archives for the comp.ai.genetic newsgroup, papers, and source code for genetic programming examples. |
| Genetic-Programming.org - Home Page | Information about the field of genetic programming. Includes information on genetic programming conferences. |
| The Genetic Programming Notebook | Information on a variety of topics within genetic programming, genetic algorithms, and artificial intelligence. |
| Illinois Genetic Algorithms Laboratory | Study the fundamental problem solving approach of nature which is evolution. Includes several publications order forms and a site link list. |
| Messy Genetic Algorithm (LISP) Files | This directory contains the files for the messy GA (mGA) LISP code documented in the technical report "mGA 1.0: A Common LISP Implementation of a Messy Genetic Algorithm (TCGA Report No. 90004, by David E. Goldberg and T. Kerzic, 1990). |
| Miscellaneous Genetic Algorithms Files | FTP archive for Genetic Algorithms related files. |
| Miscellaneous Genetic Algorithms Files | References to Genetic Algorithms related programs at the Santa Fe Institute. |
| Will's Technical Page | A collection of articles and other technical resources for artificial intelligence (especially data mining and machine learning). |
| Yahoo - Genetic Algorithms Programming Language | Links to the genetic algorithms archive, bibliography, institute list, and an archive of FAQs. |
Sponsors of PC AI - Genetic Algorithms Vendors
| Specializes in biologically-based computer systems for business and science that learn, adapt and evolve. In a world of accelerating change, systems and solutions must be able to adapt quickly. We build systems that are based upon dynamic natural processes. These powerful solutions are increasingly a part of strategic and tactical systems throughout the world. | |
| Provider of multi-strategy data mining suite PolyAnalyst features a hybrid Genetic Algorithm-Memory Based Reasoning exploration engine as one of many available algorithms. | |
| QMC provides an advanced generation of PC-based software technologies that interpret, analyze, and configure data for any process in any industry. |
Other Genetic Algorithms Vendors
| American Heuristics Corporation | AHC is a technology transfer company that specializes in
the research and development of advanced software technologies and their
application to complex technical problems. (info@heuristics.com) |
| Attar Software | Authors of the XpertRule range of software for Knowledge-based development, resource optimization, and data mining. (info@attar.com) |
| The primary objective of Flexible Intelligence Group, LLC.
(FIG) is to design, develop, and market independent modules which may
be used, in isolation or in combination with systems, to (a) provide computational
intelligence to a system or (b) improve the computational intelligence
of a system. At present, this requires the development of soft computing
modules that integrates techniques such as fuzzy systems, evolutionary
algorithms, neural networks, and chaos theory . info@flextool.com |
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| Gordian Institute | A division of American Heuristics Corporation whose mission is to facilitate the transfer of new technologies through first-rate, hands-on, intensive training courses. New courses are added to the curriculum as advancing technologies become sufficiently mature to warrant commercial attention. |
| Man Machine Interfaces | None at this time |
| OptiGA - Genetic Algorithms ActiveX Control | ActiveX control for the implementation of genetic algorithms. |
| Palisade Corporation | Palisade Corporation produces many analytical power tools, including Evolver 4.0 and @Risk. Evolver 4.0 uses genetic algorithms to solve complex optimization problems. @Risk ads Monte Carlo simulation directly into Microsoft Project. |
| Predictive Dynamix, Inc. | Predictive Dynamix provides a comprehensive suite of software tools for commercial data mining applications |
| RoboWiz Corporation | (pdfisk@ibm.net) (75253.3274@compuserve.com) |
| The Schwartz Associates | tjs333@juno.com www.zoom.com/tsa |
| Ward Systems Group, Inc. is a progressive company that transforms the latest developments in neural networks and artificial intelligence into pratical problem solving tools for the business, scientific, and academic environments. The company was established in 1988 and has over seven years experience in assisting customers on creating neural networks. Learn about the AI Trilogy. |
Dynamic Search Engine References
Search the web for "genetic algorithms" references
using:
| IntelliSeek | Lycos | Yahoo | InfoSeek | Alta Vista |
Article References
| Ask the Expert: Hottest "New" Technologies Give Lie To High-tech Beliefs | Shafer, D. (1991) PC AI, 5(4), 18-19. |
| Review: MicroGA: Exploring Genetic Algorithms | Darling, C. (1994) PC AI, 8(2) , 44-46. |
| Genehunter: GA Software From Ward | Lewinson, L. (1995) PC AI, 9(2) , 26. |
| Genetic Algorithms | Hill, R. (1996) PC AI, 10(3) , 27. |
| Genetic Algorithms at Work: Two Case Studies | Lipton, M.J., Rosenof, H.P., and Liston, G. (1996) PC AI, 10(5) , 16. |
| Genetic Algorithms in Battlefield Communications | Chang, T. (1997) PC AI, 11(5) , 28. |
| Data Mining, Modeling, Simulation and Genetic Algorithms in the Chemical Process Industries | van Buskirk, P. (1999) PC AI, 13(5), 28 |
| Tackling Real-World Environmental Engineering Challenges with Linear Genetic Programming | Deschaine, L. (2000) PC AI, 14(5), 35 |
Book References
| Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems | Adeli, H. and Hung, S. (1995) New York, NY: John Wiley & Sons Inc, pps. 211. ISBN: 0-471-01633-0. |
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| Practical Genetic Algorithms | Haupt, R. and Haupt. S. (1998) John Wiley & Sons, pps. 192. ISBN 0471188735 | |
| Adaptive Learning by Genetic Algorithms : Analytical Results and Applications to Economic Models | David, H. (1999) Springer Verlag, pps. 200. ISBN 3540656073 | |
| Evolutionary Algorithms in Engineering and Computer Science : Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming . . . | Miettinen, K.; Neittaanmaki, P.; Periaux, J. (1999) John Wiley & Sons Ltd., pps. 483. ISBN 0471999024 | |
| The Practical Handbook of Genetic Algorithms: Applications, Second Edition | Chambers, L. (ed.) (2000) CRC Press, pps. 528. ISBN 1584882409 | |
| Genetic Algorithms and Engineering Optimization (Wiley Series in Engineering Design and Automation) | Gen, M. and Cheng, R. (2000) John Wiley & Sons, pps. 512. ISBN 0471315311 | |
| Evolutionary Algorithms : The Role of Mutation and Recombination (Natural Computing Series) | Spears, W. (2000) Springer Verlag, pps. 245. ISBN 3540669507 |
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