An Improved Artificial Immune Network Algorithm to Solve Multi-Project Scheduling Problem in Product Development

Abstract:

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An improved artificial immune network algorithm used to solve multi-mode resource constrained multi-project scheduling problem in product development process is put forward. Firstly, the mathematic model of multi-project scheduling problem is set up. And then, Operations including clonal selection, negative selection and network suppression are used to realize the local searching and global searching which will assure that the algorithm has a powerful searching ability and also avoids the possible combinatorial explosion. Finally, a randomly generated case is used to test its performance and the result shows that the algorithm is effective and efficient.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

923-928

DOI:

10.4028/www.scientific.net/AMM.29-32.923

Citation:

T. G. Chen "An Improved Artificial Immune Network Algorithm to Solve Multi-Project Scheduling Problem in Product Development", Applied Mechanics and Materials, Vols. 29-32, pp. 923-928, 2010

Online since:

August 2010

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Price:

$35.00

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