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Information Journal Paper

Title

A HYBRID META-HEURISTIC ALGORITHM FOR THE VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS DELIVERY AND PICK-UP

Pages

  375-385

Abstract

 Vehicle Routing Problem (VRP) is an important issue that has much used for productivity and efficiency of transportation systems in recent decades. One of the most popular and widely used developments VRP is the VEHICLE ROUTING PROBLEM with SIMULTANEOUS DELIVERY AND PICK-up (VRPSPD). In other words, each customer simultaneously receives and sends goods. The proposed procedure is a combination of the three heuristic, nearest neighbor algorithm, cheapest insertions, genetic algorithm. The first two algorithms with a random method provided the initial solution for the third algorithms. A probability function have been developed in the nearest neighbors and cheapest insertions, to construct better solutions; as well as operations proposed for the genetic algorithm to increase the search space and avoiding local optimizationis. The proposed algorithms has implemented on 40 different standard examples. After comparing the results by this algorithm and the best solutions by other algorithms, improvement is observed in 3 of the examples.

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  • Cite

    APA: Copy

    RAHIMI, AMIR MASOUD, & RAJABI, VAHID. (2017). A HYBRID META-HEURISTIC ALGORITHM FOR THE VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS DELIVERY AND PICK-UP. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), 48(4), 375-385. SID. https://sid.ir/paper/165850/en

    Vancouver: Copy

    RAHIMI AMIR MASOUD, RAJABI VAHID. A HYBRID META-HEURISTIC ALGORITHM FOR THE VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS DELIVERY AND PICK-UP. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)[Internet]. 2017;48(4):375-385. Available from: https://sid.ir/paper/165850/en

    IEEE: Copy

    AMIR MASOUD RAHIMI, and VAHID RAJABI, “A HYBRID META-HEURISTIC ALGORITHM FOR THE VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS DELIVERY AND PICK-UP,” AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), vol. 48, no. 4, pp. 375–385, 2017, [Online]. Available: https://sid.ir/paper/165850/en

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