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A Multi-Objective Memetic Algorithm For Risk Minimizing Vehicle Routing Problem and Scheduling Problem
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نویسنده
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Zandiyeh Fatemeh ,Ghannadpour Farid ,Rahman Amirah
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منبع
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International Journal Of Transportation Engineering - 2020 - دوره : 7 - شماره : 4 - صفحه:341 -353
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چکیده
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In this paper, a new approach to risk minimizing vehicle routing and scheduling problem is presented. forwarding agents or companies have two main concerns for the collection of high-risk commodities like cash or valuable commodities between the central depot and the customers: one; because of the high value of the commodities transported, the risk of ambush and robbery are very high. two; the cost of a security guard that protects the vehicle is high. therefore, the goals of these companies are to deliver and collect commodities with maximum security and minimum risk. hence, in this paper, a multi-objective vehicle routing problem with time windows (vrptw) is proposed to minimize risk and transportation costs. finally, a memetic algorithm is designed to optimize the proposed model. the proposed algorithm is evaluated and compared with the non-dominated genetic algorithm (nsgaii) using solomon vrptw test sets. the results demonstrate that the presented approach is effective for valuables routing problem.
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کلیدواژه
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Multi-Objective Vehicle Routing Problem With Time Windows ,Valuable Commodities ,Risk Minimization ,Memetic Algorithm
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آدرس
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Iran University Of Science And Technology, Department Of Industrial Engineering, Iran, Iran University Of Science And Technology, Department Of Industrial Engineering, Iran, University Sains Malaysia, School Of Mathematical Science, Malaysia
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پست الکترونیکی
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amirah@usm.my
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Authors
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