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Information Journal Paper

Title

ANT COLONY OPTIMIZATION TECHNIQUES FOR THE HAMILTONIAN P-MEDIAN PROBLEM

Pages

  383-390

Keywords

HAMILTONIAN P-MEDIAN PROBLEM (HPMP) 
ANT COLONY OPTIMIZATION (ACO) 
VEHICLE ROUTING PROBLEM (VRP) 

Abstract

 Location-Routing problems involve locating a number of facilities among can-didate sites and establishing delivery routes to a set of users in such a way that the total system cost is minimized. A special case of these problems is Hamiltonian p-Median problem (HpMP). This research applies the metaheuristic method of ant colony optimization (ACO) to solve the HpMP. Modifications are made to the ACO algorithm used to solve the traditional vehicle routing problem (VRP) in order to allow the search of the optimal solution of the HpMP. Regarding this metaheuristic algorithm a computational experiment is reported as well.

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  • Cite

    APA: Copy

    ZOHREHBANDIAN, M., & HAMIDNIA NAMINI, S.. (2010). ANT COLONY OPTIMIZATION TECHNIQUES FOR THE HAMILTONIAN P-MEDIAN PROBLEM. MATHEMATICAL SCIENCES, 4(4), 383-390. SID. https://sid.ir/paper/322524/en

    Vancouver: Copy

    ZOHREHBANDIAN M., HAMIDNIA NAMINI S.. ANT COLONY OPTIMIZATION TECHNIQUES FOR THE HAMILTONIAN P-MEDIAN PROBLEM. MATHEMATICAL SCIENCES[Internet]. 2010;4(4):383-390. Available from: https://sid.ir/paper/322524/en

    IEEE: Copy

    M. ZOHREHBANDIAN, and S. HAMIDNIA NAMINI, “ANT COLONY OPTIMIZATION TECHNIQUES FOR THE HAMILTONIAN P-MEDIAN PROBLEM,” MATHEMATICAL SCIENCES, vol. 4, no. 4, pp. 383–390, 2010, [Online]. Available: https://sid.ir/paper/322524/en

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