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Erschienen in:
1995 | OriginalPaper | Buchkapitel
Decision Making in Uncertain Environment with GA
verfasst von : Christiaan Perneel, Marc Acheroy
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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In this work, we develop a particular approach based on Genetic Algorithms (GA) for solving the decisionmaking problem in an uncertain environment, expressed as a graph-search problem. We show how Genetic Algorithms can be used as a new kind of heuristic search technique. The algorithm is illustrated in a particular decision-making application, namely an expert system which performs the automatic target recognition of armoured vehicules from short-range infra-red images. To illustrate the flexibility of the Genetic Algorithms approach for decision making, two implementations (single and multi-stage GA) are build and compared.