Titlebook: Artificial Neural Nets and Genetic Algorithms; Proceedings of the I David W. Pearson,Nigel C. Steele,Rudolf F. Albrech Conference proceedin

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Timetabling Using Genetic Algorithmsnstraints as possible. A corresponding objective function, and a Genetic Algorithm using problem-specific chromosome representations and operators have been developed and implemented in C and PROLOG. Testing was begun in a real-life environment with promising results.

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Kohonen Neural Networks for Machine and Process Condition Monitoringdetection is then possible on-line or classes can be labelled to give diagnosis. This presentation explains the special nature of machine monitoring applications in data availability and desired diagnosis information and provides examples of such systems working in different environments.

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A Genetic Algorithm for Multicriteria Inventory Classification new crossover technique is applied to the problem of multicriteria inventory classification. The results are compared with the classical inventory classification technique using Analytical Hierarchy Process.

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Combination of Genetic Algorithms and CLP in the Vehicle-Fleet Scheduling Problem drive the solution..This paper presents a new approach to the problem which attempts to combine the advantages of CLP with the benefits of Genetic Algorithms in order to obtain satisfactory results with respect to execution time and solution quality.