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计算机应用研究 2011
Research on MFJSSP based on improved ant colony algorithm
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Abstract:
To optimize MFJSSP, this paper presented an improved method based on ant colony algorithm. In the approved algorithm, defined subsets number according to jobs number. Discribed the method of constructing allowing set. Used an effective local search method for a better scheduling. Discussed the problem of choosing suitable parameters in ant colony algorithm. Improved the ant colony algorithm for MFJSSP. Applied the improved ant colony algorithm in the problem of 4×5 and problem 8×8. It achieved satisfactory results. The obtained results indicate that the proposed approach is feasible and effective for MFJSSP.