'Traveling salesman problem' presentation slideshows

Lecture 1: Symmetric Traveling Salesman Problem

Lecture 1: Symmetric Traveling Salesman Problem. Ola Svensson. Georgia Tech 2019. Who?. LPs. Exercises. APPROX. ATSP. TSP. WHO am I and What will I talk about?. About Me. Ola Svensson ola.svensson@epfl.ch http://theory.epfl.ch/osven Faculty at EPFL Research on algorithms

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Graph Algorithms in Bioinformatics

Graph Algorithms in Bioinformatics. Outline. Introduction to Graph Theory Eulerian & Hamiltonian Cycle Problems Benzer Experiment and Interal Graphs DNA Sequencing The Shortest Superstring & Traveling Salesman Problems Sequencing by Hybridization Fragment Assembly and Repeats in DNA

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The TSP : NP-Completeness Approximation and Hardness of Approximation

*. The TSP : NP-Completeness Approximation and Hardness of Approximation. All exact science is dominated by the idea of approximation. -- Bertrand Russell (1872 - 1970). Based upon slides of Dana Moshkovitz, Kevin Wayne and others + some old slides.

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Order Picking Policies: Pick Sequencing, Batching and Zoning

Order Picking Policies: Pick Sequencing, Batching and Zoning. x. x. x. x. x. x. x. x. x. x. Docking station. The Pick Sequencing Problem. Given a picking list, sequence the visits to the picking locations so that the overall traveling effort (time) is minimized. 2. c_ij. 3. 1. 5.

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NP-completeness

NP-completeness. 204.302 in 2005. Complexity. How can we show a problem is efficiently solvable? We can show it constructively, by providing an algorithm and show that it solves the problem efficiently. How can we show a problem is not efficiently solvable?

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Slides by Irina Volinsky Evgeny Shulgin Lev Solar

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Island Based GA for Optimization

Island Based GA for Optimization. University of Guelph School of Engineering Hooman Homayounfar March 2003. Outlines Dynamic Optimization Problems Current Techniques and Limitations Advanced GA IGA for Optimization Implementation Results Analysis and Conclusion Future work.

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Research Profile of My Group

Research Profile of My Group. Guoliang Xing Department of Computer Science City University of Hong Kong. Facts of My Group. Members Three PhD students CityU, CityU-USTC, CityU-WuhanU One Master student Two research assistants (joint supervision) Part of CityU wireless group

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Design and Analysis of Algorithms Approximation algorithms for NP-complete problems

Design and Analysis of Algorithms Approximation algorithms for NP-complete problems. Haidong Xue Fall 2013, at GSU. Approximation algorithms for NPC problems. If a problem is NP-complete, very likely, there is no polynomial-time algorithm to find an optimal solution

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Design and Analysis of Algorithms Approximation algorithms for NP-complete problems

Design and Analysis of Algorithms Approximation algorithms for NP-complete problems. Haidong Xue Summer 2012, at GSU. Approximation algorithms for NPC problems. If a problem is NP-complete, there is very likely no polynomial-time algorithm to find an optimal solution

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AMDM UNIT 7: N etworks and Graphs

AMDM UNIT 7: N etworks and Graphs. Euler Paths and Circuits. Can You draw this figure without lifting you pencil from the paper?. The original problem.

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Shortest Paths

Shortest Paths. Text Discrete Mathematics and Its Applications (5 th Edition) Kenneth H. Rosen Chapter 9.6 Based on slides from Chuck Allison, Michael T. Goodrich, and Roberto Tamassia By Longin Jan Latecki. BOS. NY. CHI. SF. DEN. ATL. LA. MIA. Weighted Graphs.

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Parallel Implementation of Ant Colony Optimization on Traveling Salesman problem

Parallel Implementation of Ant Colony Optimization on Traveling Salesman problem. Under the supervision of Dr.K.P.Singh. Yogesh sharma IIT2009175 Ankur mangal IIT2009176. Traveling Salesman Problem (TSP).

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Parallel Ant Colony Optimization for Real World Problems

Parallel Ant Colony Optimization for Real World Problems. Brandon Phelps and Daniel White. Topics to be covered:. Traveling Salesman Problem(TSP) Sequential TSP Solution Ant Colony Optimization(ACO) Parallelization of ACO Time Complexity Comparison. Introduction to TSP.

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Lecture 9 Tours

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Part V Theory of Approximate Computation

Part V Theory of Approximate Computation. Lecture 25 Approximation for NP-hard Problems. Earlier Results on Approximations. Vertex-Cover Traveling Salesman Problem Knapsack Problem. Performance Ratio. Constant-Approximation. c-approximation is a polynomial-time approximation satisfying :

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Lecture 21 Paths and Circuits

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What is Computer Science About? Part 2: Algorithms

What is Computer Science About? Part 2: Algorithms. Design and Analysis of Algorithms. Why we study algorithms: many tasks can be reduced to abstract problems if we can recognize them, we can use known solutions. example: Graph Algorithms

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Genetic Algorithm and Their Applications to Scheduling

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Traveling Salesman Problem

Traveling Salesman Problem. Study Guide for ES205 Yu-Chi Ho Jonathan T. Lee Xiaocang Lin Sep. 1, 2000. N. c. b. d. a. e. Problem Statement.

299 views • 6 slides