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Multi-depot Scheduling and Service Network Optimization Problem of Community Home Health Care |
DING Feng1, FU Yaping1, WANG Wei1, WANG Hongfeng2
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1. School of Business, Qingdao University, Qingdao 266071, China; 2. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China |
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Abstract To tackle the stochastic multi-depot community home health care problem, this work formulates a stochastic programming model with chance constraint to minimize the total operation time. Moreover, an improved shuffled shepherd optimization algorithm is designed by applying crossover operation instead of the basic step updating method. Therefore, the designed approach can suitably solve the community home health care problem with discrete characteristic. Extensive experiments are carried out and the results show that the proposed approach has better performance in solving the considered problem compared with two well-known meta-heuristic methods.
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Received: 01 April 2021
Published: 21 February 2022
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