'Combinatorial optimization problem' diaporamas de présentation

EXTREMAL VALUES OF TOLERANCES IN COMBINATORIAL OPTIMIZATION

EXTREMAL VALUES OF TOLERANCES IN COMBINATORIAL OPTIMIZATION. Boris Goldengorin Nizhny Novgorod Branch of Higher School of Economics, Russian Federation and University of Groningen, The Netherlands. Outline of this Talk. Elementary introduction Sensitivity analysis and tolerances

880 views • 72 slides

An Introduction to Metaheuristics

An Introduction to Metaheuristics. Chun-Wei Tsai Electrical Engineering, National Cheng Kung University. Outline. Optimization Problem and Metaheuristics Metaheuristic Algorithms Hill Climbing (HC) Simulated Annealing (SA) Tabu Search (TS) Genetic Algorithm (GA)

2.08k views • 72 slides

Chapter 2 Greedy Strategy

521 views • 40 slides

Quadratic Assignment Problem (QAP)

714 views • 39 slides

Quadratic Assignment Problem (QAP)

677 views • 39 slides

CS b553: Algorithms for Optimization and Learning

CS b553: Algorithms for Optimization and Learning. Structure Learning. Agenda. Learning probability distributions from example data To what extent can Bayes net structure be learned? Constraint methods (inferring conditional independence) Scoring methods (learning => optimization).

454 views • 34 slides

MU-FASHION

MU-FASHION. Mu lti-Resolution Data F usion using A gent-Bearing S ensors In Hi erarchically- O rganized N etworks. Project Participants: Krishnendu Chakrabarty (Duke University) S. S. Iyengar (Louisiana State University Hairong Qi (University of Tennessee).

1.03k views • 32 slides

CN700: HST 10.6-10.13

CN700: HST 10.6-10.13. Neil Weisenfeld (notes were recycled and modified from Prof. Cohen and an unnamed student) April 12, 2005. Robust Loss Functions for Classification. Loss functions that lead to simple boosting solutions (squared error and exponential) are not always the most robust.

401 views • 32 slides

Finding Optimum Clock Frequencies for Aperiodic Test

390 views • 29 slides

Swarm algorithms

484 views • 27 slides

Swarm algorithms

539 views • 27 slides

Genetic Algorithms

Genetic Algorithms. Dr. Sadiq M. Sait & Dr. Habib Youssef (special lecture for oometer group) November 2003. Contents. Introduction Basics of GA Genetic Algorithm(s) Schema Theorem and Implicit Parallelism Genetic Algorithm In Practice Other issues A Brief Survey of Applications

550 views • 25 slides

Coverage by Directional Sensors

Coverage by Directional Sensors. Jing Ai and Alhussein A. Abouzeid Dept. of Electrical, Computer and Systems Engineering Rensselaer Polytechnic Institute Troy, NY 12180, USA aij@rpi.edu,abouzeid@ecse.rpi.edu http://www.ecse.rpi.edu/Homepages/abouzeid/R&P.html. WiOpt 2006

429 views • 21 slides

An Application of Particle Swarm Optimization: The Traveling Salesman Problem

An Application of Particle Swarm Optimization: The Traveling Salesman Problem. Russ Eberhart John Douglas. Traveling Salesman Problem. The Traveling Salesman Problem (TSP) is a combinatorial optimization problem

339 views • 13 slides

Traveling Salesman Problem

Traveling Salesman Problem. IEOR 4405 Production Scheduling Professor Stein Sally Kim James Tsai April 30, 2009. TSP Defined. Given a list of cities and their pairwise distances, find the shortest tour that visits each city exactly once

595 views • 11 slides