PPT-The Traveling Salesman Problem

Author : olivia-moreira | Published Date : 2016-07-07

Rohit Ray ESE 251 The goal of the Traveling Salesman Problem TSP is to find the most economical way to tour of a select number of cities with the following restrictions

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The Traveling Salesman Problem: Transcript

Rohit Ray ESE 251 The goal of the Traveling Salesman Problem TSP is to find the most economical way to tour of a select number of cities with the following restrictions You must visit each city once and only once. Lecture 2: NP-Hardness. 28 January 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Today’s Outline. NP-completeness and the complexity of finding optimal TSP tours.. Lecture 6: Exploiting Geometry. 25 February 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. The k-d tree data structure. Exploiting k-d trees to speed up geometric tour construction heuristics. Lecture 8: Lin-Kernighan and Beyond. 11 March 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. k-Opt, k > 3. Lin-Kernighan. Lecture 9: Optimization 101, or. “How I spent my Spring Break”. 25 March 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. Lecture . 13: . The Maximum TSP Problem. 22 April 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. The Maximum Traveling Salesman Problem. Lecture 5: Tour Construction Heuristics. 18 February 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. Tour Construction Heuristics. Lecture 7: Local Optimization. 4 March 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. Tour of the DIMACS TSP Challenge Website and other web resources . Lecture . 14: . More on Maximum TSP Problems. 29 April 2014. David S. Johnson. dstiflerj@gmail.com. http://. davidsjohnson.net. Seeley . Mudd. 523, Tuesdays and Fridays. Outline. The Asymmetric Maximum TSP. Chris . Seto. Andrea Smith. Problem description. Given a list of a cities and distance between each pair of cities, what is the shortest possible route that visits each?. NP-hard problem. Problem usually modeled as an undirected graph. (. log. n. ) Approximation Ratio for the. Asymmetric Traveling Salesman Path. Problem. Chandra . Chekuri. Martin . P´al. Presented by: Instructor:. . Rahmtin . Rotabi. Prof. . The Traveling Salesman Problem. Drew Nash. 26 March 2014. Definitions. You are a traveling salesperson…. http://. www.travelingsalesman.org/travelling_serial.html. On assignment…. http://www.nytimes.com/interactive/2012/03/01/theater/201203-death-of-a-salesman-interactive.html?_r=0. Instructor: . Gurgen. . Khachatryan. Students: . Antranik. . Babikian. . Asdghig. . Ashekain. Avedis Koshkerian. Contents. INTRODUCTION. . Problem . 1: . Traveling . Rohit. Ray. ESE 251. The goal of the . Traveling. Salesman Problem (TSP) is to find the most economical way to tour of a select number of “cities” with the following restrictions:. You must visit each city once and only once. a. nd the. Open Traveling Salesman Problem. Traveling Salesman Problem. Objective: Given a list of cities and the distances between each pair of cities, find the shortest possible route that visits each city exactly once and returns to the origin city..

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