Multi-agent ant colony optimization for vehicle routing problem with soft time windows and road condition
نویسندگان
چکیده
منابع مشابه
A goal programming model for vehicle routing problem with backhauls and soft time windows
The vehicle routing problem with backhauls (VRPB) as an extension of the classical vehicle routing prob-lem (VRP) attempts to define a set of routes which services both linehaul customers whom product are to be delivered and backhaul customers whom goods need to be collected. A primary objective for the problem usually is minimizing the total distribution cost. Most real-life problems have othe...
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One of the most important extensions of the capacitated vehicle routing problem (CVRP) is the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) where customers require simultaneous delivery and pick-up service. In this paper, we propose an effective ant colony optimization (EACO) which includes insert, swap and 2-Opt moves for solving VRPSPD that is different with common an...
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The competitive vehicle routing problem is one of the important issues in transportation area. In this paper a new method for competitive VRP with time windows and stochastic demand is introduced. In the presented method a three time bounds are given and the probability of arrival time between each time bound is assumed to be uniform. The demands of each customer are different in each time wind...
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Products distribution is a process on which products are moved from sources to customers. According to Toth and Vigo [1], transportation costs typically represent 10-20% of the final price of goods on the market. Over the past 20 years, Vehicle Routing Problem (VRP) was especially solved through the use of meta-heuristics, see Jozefowiez et al. [2], Vidal et al. [3]. Eksioglu et al. [4] made a ...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201817302020