نتایج جستجو برای: travelling salesman problem tsp

تعداد نتایج: 889682  

Journal: :Operations Research 1973
S. Lin Brian W. Kernighan

An Eflective Heuristic Algorithm for the Traveling. THE SYMMETRIC traveling-salesman problem is: Given an n by n symmetric matrix of.symmetric traveling salesman problem. However, the design and implementation of an algorithm based on this heuristic is not trivial. There are many.This article is about the heuristic for the travelling salesman problem. An Effective Heuristic Algorithm for the Tr...

2017
Satu Elisa Schaeffer Chetan Chauhan Ravindra Gupta Kshitij Pathak Anshul Singh Devesh Narayan Corinne Brucato Anitha Rao Sandeep Kumar Hegde Komal Joshi Ram Lal Yadav

The Travelling Salesman Problem (TSP) is a classical problem in the field of combinatorial optimization. Main objective of TSP is to find an optimal tour which starts from an arbitrary city (vertex), visits remaining cities exactly once and returns back to the city at which tour commenced. TSP belongs to the class of NP Complete problems, has been studied for many years and is still being studi...

Journal: :Jurnal mathematic paedagogic 2022

Travelling Salesman Problem (TSP) adalah upaya salesman untuk mengunjungi setiap kota tepat satu kali dan kemudian kembali ke tempat asal sekaligus meminimalisasi total biaya yang ditempuh. Siklus Hamilton siklus melalui simpul di dalam graf asal. TSP mencoba mencari jarak optimal dari graf. Trans Banyumas beroperasi dengan semua pemberhentian bus titik awal. Penelitian ini menerapkan algoritma...

2012
Naveen Kumar Rajiv Kumar George Dantzig Delbert Ray Fulkerson

This paper presents the literature survey review of Travelling Salesman Problem (TSP). TSP belongs to the category of NP-hard problems. A various number of methods have been designed to solve this problem. Genetic Algorithm is one of the best methods which is used to solve various NP-hard problem such as TSP. The natural evolution process is always used by genetic Algorithm to solve the problem...

2004
TRUNG HOANG DINH ABDULLAH AL MAMUN

The algorithm of Ant Colony System (ACS) has been found attractive for solving combinatorial optimization problem such as Travelling Salesman Problem (TSP). The run-time for this algorithm increases with increase in number of nodes. In this paper, we propose an efficient method that reduces the run-time for very large-scale Euclidean TSP problem and yet conserve the quality of solution for cert...

2006
Iwona Pozniak-Koszalka Ireneusz Kulaga Leszek Koszalka

This paper shows that geographic information system can successfully solve TSP (travelling salesman problem). It has been done using a module of the designed and implemented by authors GISness system. Three algorithms for solving TSP are available, including the proposed by authors an hybrid algorithm called 2optGAM. The results of research show that the algorithm is very promising.

2012
Barıs Kocer

Travelling salesman problem (TSP) is a combinational optimization problem and solution approaches have been applied many real world problems. Pure TSP assumes the cities to visit are fixed in time and thus solutions are created to find shortest path according to these point. But some of the points are canceled to visit in time. If the problem is not time crucial it is not important to determine...

2012
Yuksel Celik Erkan Ulker E. ULKER

In the travelling salesman problem (TSP), a travelling salesman completes a tour of “n” number of cities by stopping once in each city and completes the tour by returning to his starting point, while minimizing the distance and the cost. The asymmetric travelling salesman problem (ATSP) is the problem in which the cost of travel from city A to B is different from that from B to A. Marriage in H...

Journal: :JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 2022

Abstract: Distribution is an important the business sector, agricultural sector for distributing seeds to ensure location of customers selling seeds. Problems that are often encountered seed distribution process efficiency time and distance distribution. Re search will build software entering initial data several dynamically added consumer agents. The parameter uses latitude-longitude integrate...

Journal: :CoRR 2011
Rohan Agrawal

Evolutionary Multi-Objective Optimization is becoming a hot research area and quite a few papers regarding these algorithms have been published. However the role of local search techniques has not been expanded adequately. This paper studies the role of a local search technique called 2opt for the Multi-Objective Travelling Salesman Problem (MOTSP). A new mutation operator called Jumping Gene (...

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