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Information Journal Paper

Title

OPTIMIZATION OF OFFICE TRANSPORTATION SYSTEM BY USING CLUSTERING K-MEANS METHOD AND SAVING AND TABU SEARCH HYBRID ALGORITHM

Pages

  665-678

Keywords

VEHICLE ROUTING PROBLEMS (VRP)Q2
GISQ1

Abstract

 Taking the advantage of transportation services for employees corporate, offices and factories is one of the outstanding solutions to reduce traffic congestion and fuel consumption. In this way planning and allocation of vehicles to passengers and also determining the transportation routes are major problems. Such problems are known as Vehicle Routing Problem (VRP) that fall into category of complex multi-purpose optimization problem. This paper attempts to simplify the problem by breaking it into several simple and single-purpose problems and also to propose a novel approach for path finding. At first, VRP converts to several single-purpose problems, using improvement K-MEANS ALGORITHM. Then, a hybrid method based on Saving and TABU SEARCH ALGORITHMs is developed to find shortest path. Results show that hybrid method of Saving and TABU SEARCH ALGORITHMs is better and faster than using only Tabu.

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    APA: Copy

    SHURVARZI, HOSEIN, NAEIMI, AHID, & TALEAI, MOHAMMAD. (2016). OPTIMIZATION OF OFFICE TRANSPORTATION SYSTEM BY USING CLUSTERING K-MEANS METHOD AND SAVING AND TABU SEARCH HYBRID ALGORITHM. JOURNAL OF TRANSPORTATION ENGINEERING, 7(4), 665-678. SID. https://sid.ir/paper/223984/en

    Vancouver: Copy

    SHURVARZI HOSEIN, NAEIMI AHID, TALEAI MOHAMMAD. OPTIMIZATION OF OFFICE TRANSPORTATION SYSTEM BY USING CLUSTERING K-MEANS METHOD AND SAVING AND TABU SEARCH HYBRID ALGORITHM. JOURNAL OF TRANSPORTATION ENGINEERING[Internet]. 2016;7(4):665-678. Available from: https://sid.ir/paper/223984/en

    IEEE: Copy

    HOSEIN SHURVARZI, AHID NAEIMI, and MOHAMMAD TALEAI, “OPTIMIZATION OF OFFICE TRANSPORTATION SYSTEM BY USING CLUSTERING K-MEANS METHOD AND SAVING AND TABU SEARCH HYBRID ALGORITHM,” JOURNAL OF TRANSPORTATION ENGINEERING, vol. 7, no. 4, pp. 665–678, 2016, [Online]. Available: https://sid.ir/paper/223984/en

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