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         Traveling Salesman Problem:     more books (18)
  1. A Bicriterion Traveling Salesman Problem by Chyuan Perng, 1989
  2. Meta-RaPS: a simple and effective approach for solving the traveling salesman problem [An article from: Transportation Research Part E] by G.W. DePuy, R.J. Moraga, et all 2005-03-01
  3. sBAM in solving Traveling Salesman Problem: A Cost Efficient Algorithm sBAM in Comparison to Genetic Algorithm for Solving the Traveling Salesman Problem by Boshir Ahmed, Abdullah Al Mohammad, 2010-07-13
  4. Traveling Salesman Problem for Surveillance Mission Using Particle Swarm Optimization by Barry R. Secreat, 2001

21. Traveling Salesman Problem. Downloadsoftware4free.com. Download Free Software. S
traveling salesman problem. downloadsoftware4free.com. Download Free Software. Search shareware and freeware downloads.
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Submit your Software: Submit pad file Member area: Registration form Forgot Your Password? login: pass: Remember me: Top rated: Top Downloads: JOpt.NET - Vehicle Routing Software Library ... for in is logistic or routing software solves written problems Rate it: 11 votes. Keys: routing software vehicle routing problem traveling salesman problem dispatching software ... logistic route optimisation
Some soft:
Simulated Annealing Demonstration
... application attack demonstrates is on that the the with traveling salesman" problem Rate it: 3 votes. Keys: AnnealingTraveling salesman Annealing salesman ... JOpt.SDK - route optimization library JOpt.SDK is a route optimization and planning Java ... Rate it: 10 votes.

22. Fractal Instances Of The Traveling Salesman Problem
By Pablo Moscato.
http://www.ing.unlp.edu.ar/cetad/mos/FRACTAL_TSP_home.html

23. Bees Solve Complex ‘traveling Salesman’ Problem | KurzweilAI
Oct 26, 2010 Bumblebees can find the solution to a complex mathematical problem that keeps computers busy for days. Scientists at Royal Holloway,
http://www.kurzweilai.net/bees-solve-complex-traveling-salesman-problem

24. Traveling Salesman Problem
Dec 18, 2009 The Traveling Salesman Problem (TSP) requires that we find the shortest path visiting each of a given set of cities and returning to the
http://delphiforfun.org/programs/traveling_salesman.htm
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Problem Description The Traveling Salesman Problem (TSP) requires that we find the shortest path visiting each of a given set of cities and returning to the starting point. Here's a program that lets you match your skill against the computer to define a path connecting a random set of U.S. cities.
First, I want to thank fellow seeker Robert Harrold for suggesting this project. He runs a wide ranging website including this education page where he was kind enough to place a link to DFF. He says that a computer display similar to this program existed on the second floor of the National Aerospace Museum in Washington, DC during the 80's. It disappeared one day in 1988, and he's been looking for it ever since. Maybe this will help, Bob. Thanks for asking.

25. Traveling Salesman Problem Script Free Download
Free Traveling Salesman Problem script and Traveling Salesman Problem software at Brothersoft Matlab Scripts
http://www.brothersoft.com/traveling-salesman-problem-381895.html
Traveling Salesman Problem Download Windows Mobile Games Mac Widgets Web Apps drivers You are here > Home Windows Scripts Matlab
Traveling Salesman Problem scripts download
Traveling Salesman Problem
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Traveling Salesman Problem
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Traveling Salesman Problem
  Description
"Finds a near-optimal solution to a TSP using a GA"
Edit By BS Editor: TSP_GA Traveling Salesman Problem (TSP) Genetic Algorithm (GA)
Finds a (near) optimal solution to the TSP by setting up a GA to search for the shortest route (least distance for the salesman to travel to each city exactly once and return to the starting city)
Summary:
1. A single salesman travels to each of the cities and completes the route by returning to the city he started from
2. Each city is visited by the salesman exactly once
Input:
XY (float) is an Nx2 (or Nx3) Matrix of cities
DMAT (float) is an NxN matrix of point to point distances/costs
POP_SIZE (scalar integer) is the size of the population (should be divisible by 4)
NUM_ITER (scalar integer) is the number of desired iterations for the algorithm to run SHOW_PROG (scalar logical) shows the GA Progress if true SHOW_RES (scalar logical) shows the GA results if true Output: OPT_RTE (integer array) is the best route found by the algorithm MIN_DIST (scalar float) is the cost of the best route

26. Merlins-World
An approach to solve the asymmetric travelling salesman problem using linear optimisation with a polynomial bounded set of constraints.
http://www.merlins-world.de
Welcome to the page of
M ERLIN
The polynomial-bounded solution
for the Traveling Salesman Problem
You can find here:

Something about the background
Link to the corresponding article in the journal
Applied Mathematics and Computation

(Volume 186-1, 1 March 2007, Pg. 907-914)
A presentation with a summary description
of the MERLIN approach ( pdf Input Files in LP-Format for a linear solver Output Files of the optimization Validation results coming soon... P=NP! © Joachim Mertz, 2006 Contact tsp@merlins-world.de

27. Traveling Salesman Problem Using Genetic Algorithms
Traveling Salesman Problem Using Genetic Algorithms Click the image to run the TSP Genetic Algorighm. I have developed a solution to the Traveling Salesman Problem (TSP) using
http://www.lalena.com/ai/tsp/

28. Traveling Salesman Problem Generator
Generates a Traveling Salesman Problem map and data for a given set of US cities.
http://www.60feet6.com/research/usa_tsp_tech.html
TSP Generator Research Sean Forman You Are Here On-line TSP Generator by Sean Forman
sforman@sju.edu
http://www.sju.edu/~sforman/
Introduction
Hamiltonian Circuits and the Traveling Salesman Problem (TSP) are often covered as part of Graph Theory sections in many mathematics courses. TSP is taken from the idea of a salesperson getting up in the morning and then having to visit a large number of clients and then return home at the end of the day. The salesman wishes to find the shortest route to visit all of the clients. Thinking mathematically, this requires the determination of the shortest circuit (a tour that begins and ends in the same city) connecting a given set of cities. Typically, students are introduced to the TSP and shown several common heuristics that can be used to find an approximate (sometimes optimal) solution. I have designed a web application, TSP Generator, that takes as an input a list of user-provided cities (up to 30), and produces a variety of outputs useful to our instructors and students covering this subject. I use this tool as a teaching aid. It allows me to quickly generate example, real-life problems for the students to solve. Given a list of cities, TSP Generator produces the

29. 1.5.4 Traveling Salesman Problem
A weighted graph G. Problem Find the cycle of minimum cost visiting all of the vertices of G exactly once. Excerpt from The Algorithm Design Manual The traveling......Input
http://www.cs.sunysb.edu/~algorith/files/traveling-salesman.shtml

About the Book
The Stony Brook Algorithm Repository
Steven Skiena
Stony Brook University
... Graduate Study Opportuinties
1.5.4 Traveling Salesman Problem
INPUT OUTPUT
Input Description: A weighted graph G Problem: Find the cycle of minimum cost visiting all of the vertices of G exactly once. Excerpt from The Algorithm Design Manual : The traveling salesman problem is the most notorious NP-complete problem. This is a function of its general usefulness, and because it is easy to explain to the public at large. Imagine a traveling salesman who has to visit each of a given set of cities by car. Although the problem arises in transportation applications, its most important applications arise in optimizing the tool paths for manufacturing equipment. For example, consider a robot arm assigned to solder all the connections on a printed circuit board. The shortest tour that visits each solder point exactly once defines the most efficient path for the robot. A similar application arises in minimizing the amount of time taken by a graphics plotter to draw a given figure.
Implementations
  • Concorde TSP Solver (C) (rating 10)
  • GOBLIN: A Graph Object Library for Network (C++) (rating 9)
  • TSP solvers (C) (rating 9)
  • Keld Helsgaun's traveling salesman (C) (rating 8) ...
  • Netlib / TOMS Collected Algorithms of the ACM (FORTRAN) (rating 4)
    Recommended Books
    The Traveling Salesman Problem and Its Variations by G. Gutin and A. Punnen
  • 30. Traveling Salesman Problem - VB.NET
    Hey, I have done a little project in the past involving Genetic Algorithms (GAs), written in VB6 (really poorly). Now, after I understand the whole concept of programming much
    http://www.daniweb.com/forums/thread252146.html
    /** * vBulletin 3.8.2 CSS * Style: 'Software Development'; Style ID: 6 */ @import url("/forums/clientscript/vbulletin_css/style-1ac307d6-00006.css"); @import url("/rxrimages/danicss.css"); Top Members by Rank
    • Join DaniWeb Member Log In Editorial ... VB.NET Ad: tweetmeme_source = 'DaniWeb'; tweetmeme_service = 'bit.ly'; tweetmeme_style = 'compact'; tweetmeme_url = 'http://www.daniweb.com/forums/thread252146.html';
      • VB.NET Discussion Thread Unsolved Views:
      Similar Threads Permalink Jan 11th, 2010
      traveling salesman problem
      Hey,
      I have done a little project in the past involving Genetic Algorithms (GAs), written in VB6 (really poorly). Now, after I understand the whole concept of programming much better, I decided to give it another try.
      This time I've decided to try tackling the Traveling Salesman Problem. For those not familiar with it, it goes a little like this:
      Imagine you have N cities scattered across a country. A salesman has to travel to each city exactly once, but he doesn't like traveling very much. So, he wants to find the minimum traveling distance while still visiting each city once. The path the salesman takes is often called a tour.

    31. ZIP-Method - New Combinatorial Optimum Solution Of TSP (abstract)
    A new solution algorithm for the TSP.
    http://www.jochen-pleines.de/sprachen/english.htm
    HOME INHALT DOWNLOAD AUTOR ... IMPRESSUM
    Traveling-Salesman-Problem (TSP) The Traveling-Salesman-Problem (TSP) commonly treated as one of the outstanding combinatorial problems. Optimal solutions of large-scale TSP are special cases of a geografic nature; therefore, they are related to metric spaces. In strict contradiction to this case, optimum solutions for general TSP are only posible by means of a complete enumeration of the n! potential tours; hence, they are not thought to be efficiently soluble. Therefore, we introduce a new separation method (ZIP) that surpasses combinatorically the traditional limit of optimum solutions for general TSP. In principle, the new method may as well be applied to non-symmetric tours. Additional examples contain a multitude of new ideas for further applications. (german) Summary of the new solution About the history of the ZIP-method

    32. Traveling Salesman Problem Using Genetic Algorithms
    I have developed a solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA). In the Traveling Salesman Problem, the goal is to find
    http://www.lalena.com/AI/Tsp/

    33. Traveling Salesman Problem - Wolfram Demonstrations Project
    The traveling salesman problem asks for the shortest route by which a salesman can visit a set of locations and return home. A choice of heuristics to attempt to solve this problem
    http://demonstrations.wolfram.com/TravelingSalesmanProblem/

    34. Bees Haven't Solved The Traveling Salesman Problem | Geekosystem
    Explanation of the travelling salesman problem (TSP) and how to use JGAP to solve it.
    http://www.geekosystem.com/bees-havent-solved-traveling-salesman-problem/

    35. JOpt.SDK Vehicle Routing Software And Resource Scheduling Component
    A tour scheduling and optimization library for Java that uses specialized genetic algorithms to calculate an optimized allocation of orders and stops to vehicles. Solves Traveling Salesman Problems (TSP) and Vehicle Routing Problems (VRPTW).
    http://www.dna-evolutions.com/joptsdk.html
    company products services partners ... -> JOpt.SDK
    JOpt.SDK - Vehicle Routing Software Library
    JOpt.SDK is a vehicle routing software library for Java that uses specialized memetic algorithms to calculate an optimized allocation of orders and stops to mobile resources. The algorithm not only provides tours at minimum costs but also considers an arbitrary set of constraints for each tour. You may define your own constraints and optimization goals in order to customize JOpt.SDK to your specific planning needs or you decide to use one of our best practices addons in order to achieve a fast application of our optimization algorithms to selected industries. JOpt.SDK can solve nearly any problem that can be classified by one of the following types:
    • TSP - Traveling Salesman Problem. JOpt.SDK finds the shortest or fastest path for your mobile resources VRPTW - Vehicle routing problem with time windows - like TSP but for a set of vehicles. JOpt.SDK finds an optimal allocation of orders and stops within a vehicle fleet. It may also consider different constraints for vehicles, drivers and stops.
    JOpt.SDK functionality can be accessed via Java API and thus fits seamlessly into any JAVA application. Software developers may integrate the JOpt.SDK component into their application in order to offer their customers a consistent solution including optimization of mobile workforce schedules. A seamless integration into your software allows the look and feel of one piece of software for your customer.

    36. What Is The Traveling Salesman Problem?
    Sep 9, 2010 Brief and Straightforward Guide What is the Traveling Salesman Problem?
    http://www.wisegeek.com/what-is-the-traveling-salesman-problem.htm

    37. Traveling Salesman Problem
    Support DFF If you benefit from the website, in terms of knowledge, entertainment value, or something otherwise useful, consider making a donation via PayPal to help
    http://www.delphiforfun.org/Programs/traveling_salesman.htm
    Home Delphi Techniques Math Topics Library ... Utilities
    Search Search DelphiForFun.org only
    Support DFF If you benefit from the website, in terms of knowledge, entertainment value, or something otherwise useful, consider making a donation via PayPal to help defray the costs. (No PayPal account necessary to donate via credit card.) Transaction is secure. If you shop at Amazon anyway, consider using this link. We receive a few cents from each purchase. Thanks.
    Contact
    Feedback Send an e-mail with your comments about this program (or anything else). Search DelphiForFun.org only
    Problem Description The Traveling Salesman Problem (TSP) requires that we find the shortest path visiting each of a given set of cities and returning to the starting point. Here's a program that lets you match your skill against the computer to define a path connecting a random set of U.S. cities.
    First, I want to thank fellow seeker Robert Harrold for suggesting this project. He runs a wide ranging website including this education page where he was kind enough to place a link to DFF. He says that a computer display similar to this program existed on the second floor of the National Aerospace Museum in Washington, DC during the 80's. It disappeared one day in 1988, and he's been looking for it ever since. Maybe this will help, Bob. Thanks for asking.

    38. Ant Colony Optimization
    Optimization methodology based on ant behaviors. The first ACO system was introduced by Marco Dorigo in 1992. ACO was applied to the travelling salesman problem, and to the quadratic assignment problem.
    http://iridia.ulb.ac.be/~mdorigo/ACO/ACO.html
    ANTS 2010
    The winner of the best paper award at ANTS 2010 will receive an ant designed by the Italian sculptor Matteo Pugliese
    ACO
    on Scholarpedia: a short introduction to Ant Colony Optimization.
    Swarm Intelligence
    : a new journal dedicated to reporting on developments in the discipline of swarm intelligence. Published by Springer.
    Swarm Intelligence bibitems
    Currently three special issues are published on Swarm Robotics 2(2-4), 2008 (guest editors are Erol Sahin and Alan FT Winfield), Ant Colony Optimization 3(1), 2009 Particle Swarm Optimization 3(4), 2009 (guest editors are Riccardo Poli, Jim Kennedy, and Andries Engelbrecht). The book Ant Colony Optimization
    The software accompanying the Ant Colony Optimization book is available here as open source distributed under the GPL license. The book has been translated into Chinese: http://www.china-pub.com/33638
    On November 27, 2007, Marco Dorigo received the " CajAstur International Prize for Soft Computing " for his outstanding contributions to the development of soft computing, by developing the Ant Colony Optimization (ACO) methodology. On November 22, 2005, the King of Belgium presented the "

    39. The Traveling Salesman Problem
    Problem Given a complete undirected graph G=(V, E) that has nonnegative integer cost c(u, v) associated with each edge (u, v) in E, the problem is to find
    http://www.personal.kent.edu/~rmuhamma/Algorithms/MyAlgorithms/AproxAlgor/TSP/ts
    Problem: Given a complete undirected graph G V, E ) that has nonnegative integer cost c u, v ) associated with each edge ( u, v ) in E, the problem is to find a hamiltonian cycle (tour) of G with minimum cost. A salespersons starts from the city 1 and has to visit six cities (1 through 6) and must come back to the starting city i.e., 1. The first route (left side) 1 1 with the total length of 62 km, is a relevant selection but is not the best solution. The second route (right side) 1 1 represents the must better solution as the total distance, 48 km, is less than for the first route. Suppose c A ) denoted the total cost of the edges in the subset A subset of E i.e., c A u,v in A c u, v Moreover, the cost function satisfies the triangle inequality. That is, for all vertices u v w in V w have c u, w c u, v c v, w Note that the TSP problem is NP-complete even if we require that the cost function satisfies the triangle inequality. This means that it is unlikely that we can find a polynomial-time algorithm for TSP.
    TSP with the Triangle-Inequality
    When the cost function satisfies the triangle inequality, we can design an approximate algorithm for TSP that returns a tour whose cost is not more than twice the cost of an optimal tour.

    40. Euphoria Programming
    Categorized program downloads, screenshots utilities, graphic effects, libraries, example of how to combine EuGL and Exotica, traveling salesman problem solver.
    http://jiggawatt.org/badc0de/euphoria.htm
    home assembly c/c++ console euphoria forth gpu lisp drawings ... papers
    /euphoria
    Get the latest version of Euphoria
    Utilities
    Title
    ForthEC XPMCK BmpCon Kana teacher ... WAVEdit
    Information
    Forth compiler for various processors. MML compiler. A bitmap tool that does color quantization, dithering etc. Interactive hiragana/katakana teacher. Generates square/sawtooth/sine waves. Downsample, convert to mono etc.
    Platform
    Generic Generic
    Various graphic effects
    Title
    Particles Rotozoomer Waving flag Wormhole ... Terrain
    Information
    Some particle effects with blurring. A couple of cache-optimized rotozoomers. A flag effect using triangles. Wormhole effects with fake transparency and whatnot. A basic terrain renderer.
    Platform
    Misc.
    Title
    Semus Eutendo Zombie Tetrix ... Not Quite Assembly
    Information
    Master System emulator. NES emulator. An emulator shell that combines component plugins into various fictive machines. 3D tetris clone. An example of how to combine EuGL with Exotica. Combines swarm intelligence and q-learning. A high level assembler with built-in linker.
    Platform
    Generic
    Libraries
    Title
    DirectE CgWrap EuGL Glue ... Plugwrap
    Information
    DirectX wrapper.

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