Affiliation:
1. Institute of Atomic Energetics, P.O.Box 5061, Obninsk-5, Kaluga Region 249020 RUSSIA
Abstract
This paper describes an application oriented approach to the genetic-algorithm technique. The software is implemented in APL2 and exploits availability of user defined operators and separation of general purpose and problem specific code. The paper presents results of applying genetic algorithms to solve real life problems of simulation and predicting input order streams for a large consulting and service company. In an extended version of the paper, implementation of a GUI interface to genetic algorithm software in APL2 for OS/2 is described.
Publisher
Association for Computing Machinery (ACM)
Reference11 articles.
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4. Genetic algorithms
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1 articles.
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