%0 Journal Article
%T A New Competitive Approach on Multi-Objective Periodic Vehicle Routing Problem
%A M. Alinaghian
%A M. Ghazanfari
%A A. Salamatbakhsh
%A N. Norouzi
%J International Journal of Applied Operational Research
%D 2011
%I Islamic Azad University
%X This paper presents a novel multi-objective mathematical model of a periodic vehicle routing problem (PVRP) in a competitive situation for obtaining more sales. In such a situation, the reaching time to customers affects the sale amount; therefore, distributors intend to service customers earlier than other rivals for obtaining the maximum sale. Moreover, a partial driver¡¯s benefit is related to the amount of their sale; thus, the balance of goods based on the vehicles capacity is important. Due to its complexity, it is so difficult to optimally solve this problem in a reasonable computational time. Hence, two algorithms are proposed based on multi-objective particle swarm optimization (MOPSO) and NSGAII algorithm. A comparison of our results with three performance metrics confirms that the proposed MOPSO is an efficient algorithm for solving the competitive PVRP with a reasonable computational time. Keywords: Periodic Vehicle Routing Problem, Competitive Time Windows, Multi Objective Optimization, MOPSO.
%U http://www.ijorlu.ir/browse.php?a_code=A-10-1-5&slc_lang=en&sid=1