A parallel improved ant colony optimization for multi-depot vehicle routing problem

نویسندگان

  • B. Yu
  • Z. Z. Yang
  • J.-X. Xie
چکیده

This paper presents a method for solving multi-depot vehicle routing problem (MDVRP). First, a virtual central depot is added to transfer MDVRP to the multi-depot vehicle routing problem with the virtual central depot (V-MDVRP), which is similar to a vehicle routing problem (VRP) with the virtual central depot as the origin. An improved ant colony optimization with coarse-grain parallel strategy, ant-weight strategy and mutation operation, is presented for the V-MDVRP. The computational results for 23 benchmark problems are reported and compared to those of other ant colony optimizations. Journal of the Operational Research Society (2011) 62, 183–188. doi:10.1057/jors.2009.161 Published online 10 February 2010

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improved Ant Colony Optimization for Seafood Product Delivery Routing Problem

This paper deals with a real-life vehicle delivery routing problem, which is a seafood product delivery routing problem. Considering the features of the seafood product delivery routing problem, this paper formulated this problem as a multi-depot open vehicle routing problem. Since the multi-depot open vehicle routing problem is a very complex problem, a method is used to reduce the complexity ...

متن کامل

The fuzzy multi-depot vehicle routing problem with simultaneous pickup and delivery: Formulation and a heuristic algorithm

In this paper, the fuzzy multi-depot vehicle routing problem with simultaneous pickup and delivery (FMDVRP-SPD) is investigated. The FMDVRP-SPD is the problem of allocating customers to several depots, so that the optimal set of routes is determined simultaneously to serve the pickup and the delivery demands of each customer within scattered depots. In the problem, both pickup and delivery dema...

متن کامل

Optimisation of Customer Demand for Multi-Depot Dynamic Vehicle Routing Problem using Stochastic Demand and Variant of Ant Algorithm

This paper deals with the key issue of management to improve the allocation capability, facilitating the optimization of the objective in minimizing the cost, with the accuracy in dynamic allocation of nearest customers to depot. A method has been proposed to solve the Multi Depot Vehicle Routing Problem (MDVRP) based on Ant Algorithm which is a modified version of the traditional Ant colony Op...

متن کامل

Research of Multi-Depot Vehicle Routing Problem by Cellular Ant Algorithm

The Multi-Depot Vehicle Routing Problem (MDVRP) is a generalization of SDVRP, in which multiple vehicles start from multiple depots and return to their original depots at the end of their assigned tours. The MDVRP is NP-hard, therefore, the development of heuristic algorithms for this problem class is of primary interest. This paper solves Multi-Depot Vehicle Routing Problem with Cellular Ant A...

متن کامل

Solving the Vehicle Routing Problem with Simultaneous Pickup and Delivery by an Effective Ant Colony Optimization

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...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JORS

دوره 62  شماره 

صفحات  -

تاریخ انتشار 2011