Journal of Computers, Vol 7, No 4 (2012), 1048-1055, Apr 2012
doi:10.4304/jcp.7.4.1048-1055

Bio-Soft Computational and Tabu Search Methods for Solving a Multi-Task Project Scheduling Problem

Ikno Kim, Junzo Watada

Abstract


This article presents a novel integrated method in which bio-soft computational and tabu search methods are both used to solve a multi-task project scheduling problem. In this scheduling problem, the main challenge is to determine the most reliable completion time. To solve this problem, we first use our proposed bio-soft computational method. Next, a tabu search method is used to verify the final results of the bio-soft computational method. The bio-soft computational method includes molecular techniques, and the tabu search method is an intelligent optimization technique. Based upon this integrated method’s success solving a multi-task project scheduling problem, this article proposes that this method can help decision makers in their computational project scheduling.



Keywords


adjacency matrix; bio-soft computational method; molecular encoding; tabu search method; multi-task project scheduling

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