Wadhwa Subhash’s scientific contributions

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Publications (1)


A Knowledge Based GA Approach for FMS Scheduling
  • Article
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March 2009

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133 Reads

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7 Citations

Wadhwa Subhash

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In this paper, we present a Knowledge Based Genetic Algorithm (KBGA) for the scheduling of Flexible manufacturing system. The proposed algorithm integrates the knowledge base for generating the initial population, selecting the individuals for reproduction and reproducing new individuals. From the literature, it has been seen that simple genetic-algorithm-based heuristics for this problem lead to and large number of generations. This paper extends the simple genetic algorithm and proposes a new methodology to handle a complex variety of variables in a typical FMS problem. To achieve this aim, three new genetic operators—knowledge based: initialization, selection, crossover, and mutation are introduced. The methodology developed here helps to improve the performance of classical GA by obtaining the results in fewer generations.

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Citations (1)


... In [33], knowledge is incorporated in representation, population initialisation, recombination and mutation, selection and reproduction and fitness evaluations. Comparable methods are found in [34][35][36], with the latter standing out in that it has knowledge-based initialisation, crossover mutation and selection as methods of knowledge incorporation. All these approaches propose schemes for managing incorporated knowledge that are tightly integrated with the model and hence not sufficient for the problem of this paper. ...

Reference:

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies
A Knowledge Based GA Approach for FMS Scheduling