A Genetic Algorithm for Improving Efficiency of PERT

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In this study, a genetic algorithm (GA) based system is used to obtain the feasible combination of activity duration parameters for a project planning. The searching mechanism, developed in the Turbo C programming environment, and the theory, based on a genetic algorithm, can find several feasible solutions of activity duration parameters during proceeding with program evaluation and review technique (PERT) to find the minimum cost of a project. In addition, the system can simultaneously calculate the current cost and finish duration for each set of surveyed solutions in order to provide the project manager with options for the due date. With this system, improving the throughput efficiency of PERT to enhance the competition ability of enterprise in production management can thus be achieved.

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Edited by:

Wen-Hsiang Hsieh

Pages:

3627-3631

Citation:

J. J. Lin "A Genetic Algorithm for Improving Efficiency of PERT", Applied Mechanics and Materials, Vols. 284-287, pp. 3627-3631, 2013

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January 2013

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$38.00

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