نتایج جستجو برای: vehicle generalized traveling salesman problem

تعداد نتایج: 1130730  

M. R. Hossain, R. N. Mondal, S. K. Saha,

In this paper, we introduce a new approach for solving the traveling salesman problems (TSP) and provide a solution algorithm for a variant of this problem. The concept of the proposed method is based on the Hungarian algorithm, which has been used to solve an assignment problem for reaching an optimal solution. We introduced a new fittest criterion for crossing over such problems, and illu...

Journal: :journal of optimization in industrial engineering 2014
hossein larki majid yousefikhoshbakht

the multiple traveling salesman problem (mtsp) is a generalization of the famous traveling salesman problem (tsp), where more than one salesman is used in the solution. although the mtsp is a typical kind of computationally complex combinatorial optimization problem, it can be extended to a wide variety of routing problems. this paper presents an efficient and evolutionary optimization algorith...

2013
Krunoslav Puljić Robert Manger

This paper deals with evolutionary algorithms for solving the vehicle routing problem. More precisely, the paper is concerned with eight evolutionary crossover operators, which have originally been designed for the traveling salesman problem but can also be used for vehicle routing. The considered crossovers are tested on a set of well known benchmark problem instances. The obtained experimenta...

Journal: :Computers & OR 2016
Kaarthik Sundar Sivakumar Rathinam

The generalized multiple depot traveling salesmen problem (GMDTSP) is a variant of the multiple depot traveling salesmen problem (MDTSP), where each salesman starts at a distinct depot, the targets are partitioned into clusters and at least one target in each cluster is visited by some salesman. The GMDTSP is an NP-hard problem as it generalizes the MDTSP and has practical applications in desig...

2009
Inmaculada Rodríguez Martín Juan José Salazar González

This paper treats of a generalization of the Traveling Salesman Problem (TSP) called Multi-commodity one-to-one Pickup-and-Delivery Traveling Salesman Problem (m-PDTSP) in which cities corresponds to customers providing or requiring known amounts of m different objects, and the vehicle has a given upper-limit capacity. Each object has exactly one origin and one destination, and the vehicle must...

2015
Antonio Martinez-Sykora Tolga Bektaş

This paper describes a polynomial transformation for a class of unit-demand vehicle routing problems, named node-balanced routing problems (BRP), where the number of nodes on each route is restricted to be in an interval such that the workload across the routes is balanced. The transformation is general in that it can be applied to single or multiple depot, homogeneous or heterogeneous fleet BR...

Journal: :journal of advances in computer research 0
touraj mohammadpour department of computer engineering, ayatollah amoli branch, islamic azad university, amol, iran mehdi yadollahi department of computer engineering, ayatollah amoli branch, islamic azad university, amol, iran amir massoud bidgoli assistant professor, b.sc., m.sc., ph.d. (manchester university), mieee, tehran north branch, islamic azad university, tehran, iran habib esmaeelzadeh rostam department of computer engineering, ghaemshahr branch, islamic azad university, ghaemshahr, iran

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

Journal: :Oper. Res. Lett. 1999
Shoshana Anily Julien Bramel Alain Hertz

We consider the Ordered Cluster Traveling Salesman Problem (OCTSP). In this problem, a vehicle starting and ending at a given depot must visit a set of n points. The points are partitioned intoK,K n, prespeci ed clusters. The vehicle must rst visit the points in cluster 1, then the points in cluster 2, : : :, and nally the points in cluster K so that the distance traveled is minimized. We prese...

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