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    CHEN Zhi-mei, GU Xing-sheng. Application of Improved Ant Colony System to Job Shop Scheduling Problem[J]. Journal of East China University of Science and Technology, 2006, (4): 466-470.
    Citation: CHEN Zhi-mei, GU Xing-sheng. Application of Improved Ant Colony System to Job Shop Scheduling Problem[J]. Journal of East China University of Science and Technology, 2006, (4): 466-470.

    Application of Improved Ant Colony System to Job Shop Scheduling Problem

    • The novel transition rule and the different pheromone reinforcement rules are discussed in this paper when ant colony systems are applied to minimizing the make-span in job shop scheduling problem.The statistic results verify that improved ant colony systems are more efficient than the standard ant colony system.The algorithm parameter settings seem to play a crucial role in its efficiency and determine the quality of solutions,so some statistic analysis for parameter tuning is given.
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