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An Improved TLBO Algorithm for Balancing Stochastic Two-Sided Assembly Line
Abstract:
The stochastic two-sided assembly line is a special line in which workers perform assembly tasks in both sides of the line and the task time is not deterministic. In the improved teaching-learning-based optimization (ITLBO) algorithm, teacher and learner phases are modified for the discrete problem, a novel merging method is proposed to construct the new evolutionary population and Late Acceptance Hill-Climbing (LAHC) is integrated into the self-learning phase to obtain high quality solutions. The experimental results validate the effectiveness of the proposed algorithm.
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345-349
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August 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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