'Salesman problem' diaporamas de présentation

Coulomb glass

Coulomb glass. Jacek Matulewski, Sergei Baranovski, Peter Thomas Departament of Physics Phillips-Universitat Marburg, Germany Faculty of Physics, Astronomy and Informatics Nicolaus Copernicus University in Toru?, Poland Marburg, V 2007. Computer simulations. Outline

1.04k views • 81 slides

Genetic Algorithms

Genetic Algorithms. Team Members for Presentation Durga Mahesh Arikatla Rajiv Raja Manikant Pachineelam Kannan Dhanasekaran. Professor: Dr. Anita Wasilewska Presented on 05/04/2006. References.

895 views • 76 slides

Dynamic programming: one algorithmic key to many biological locks

Dynamic programming: one algorithmic key to many biological locks. Mikhail Gelfand RTCB, IITP, RA S and FBB, MSU 2010-2011. BIOINFORMATICS FOR BIOLOGISTS Pavel Pevzner and Ron Shamir, eds. (Cambridge University Press, 2011)

691 views • 60 slides

Informed Search Problems

Informed Search Problems. CSD 15-780: Graduate Artificial Intelligence Instructors: Zico Kolter and Zack Rubinstein TA: Vittorio Perera. Example of a search tree. How to Improve Search?. Avoid repeated states. Use domain knowledge to intelligently guide search with heuristics.

471 views • 38 slides

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.

738 views • 32 slides

1.3 Modeling with exponentially many constr.

1.3 Modeling with exponentially many constr. Some strong formulations (or even formulation itself) may involve exponentially many constraints (cutting plane method is used to solve the LP relaxations of them) The minimum spanning tree problem undirected graph ( ). Every edge has cost .

344 views • 20 slides

The Traveling Salesman Problem

657 views • 16 slides

Mats Dahlberg Research Informatics iNovacia AB, Sweden ChemAxon UGM, Budapest June 7 2006

280 views • 14 slides

Travelling Salesman Problem

Travelling Salesman Problem. an unfinished story. Contents. Description of the problem History Sample Algorithms Performance Comparison TSP with Parallel Computing Conclusion. Description of the Problem.

1.67k views • 12 slides

Tracking in the CBM experiment

KIP. CBM. Tracking in the CBM experiment. I. Kisel Kirchhoff Institute of Physics, University of Heidelberg (for the CBM Collaboration). TIME05, Zurich, Switzerland October 03-07, 2005. F acility for A ntiproton and I on R esearch (GSI, Darmstadt).

311 views • 12 slides

Simulated Annealing Methods

Simulated Annealing Methods. Matthew Kelly April 12, 2011. What is Annealing?. Slow cooling of a heated substance allows atoms to line themselves up, creating a stronger structure with minimum energy

343 views • 10 slides

Advanced Computer Graphics

229 views • 9 slides

The Euclidean Travelling Salesman Problem

268 views • 8 slides

Simulation Annealing and the Salesman Problem

Simulation Annealing and the Salesman Problem. Peter Jianxiao Zhang. Salesman Problem. Optimize a general function. Demo. Metropolis Algorithm. Failed to find minimum. Increase temperature Reduce cooling factor. Salesman Problem. Use two salesmen to ensure minimum. Demo.

223 views • 6 slides