Simulated annealing heuristic for the general share-a-ride problem

Vincent F. Yu, Sesya Sri Purwanti, A. A.N.Perwira Redi*, Chung-Cheng Lu, Suprayogi Suprayogi, Parida Jewpanya


研究成果: Article同行評審

17 引文 斯高帕斯(Scopus)


This research introduces an extension of the share-a-ride problem (SARP), called the general share-a-ride problem (G-SARP). Similarly to SARP. taxi in G-SARP can service passenger and package requests at the same time. However, G-SARP allows the taxi to transport more than one passenger at the same time, which is more beneficial in practical situations. In addition, G-SARP has no restrictions on the maximum riding time o. passenger, and the number of parcel requests that can be inserted between the pick-up and drop-off points o. passenger is limited only by vehicle capacity. simulated annealing (SA) algorithm is proposed to solve G-SARP. The proposed SA algorithm is compared with basic SA and tabu search (TS) algorithms. The results show that the proposed SA algorithm outperforms basic SA and TS algorithms. Moreover, further analysis shows that G-SARP solutions are better than those of SARP in most cases.

頁(從 - 到)1178-1197
期刊Engineering Optimization
出版狀態Published - 3 7月 2018


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