'Combinatorial optimization' presentation slideshows

The Travelling Salesman Problem: A brief survey

1.46k views • 108 slides

The Travelling Salesman Problem a brief survey

1.47k views • 102 slides

Vijay V. Vazirani Georgia Tech

A Postmortem of the Last Decade and Some Directions for the Future. Vijay V. Vazirani Georgia Tech. Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872-1970). Exact algorithms have been studied

962 views • 80 slides

Hybrid Constraint Solving in ECLiPSe: Framework and Applications

562 views • 48 slides

Meta-Heuristic Optimization Methods

Meta-Heuristic Optimization Methods. Introduction. Agenda. Some practical issues What are we going to learn? Why are we going to learn it?

814 views • 47 slides

Discovering Combinatorial Optimization with the ILOG Optimization Suite

Discovering Combinatorial Optimization with the ILOG Optimization Suite. Gregory Glockner, Ph.D. Optimization Product Manager ILOG, Inc. gglockner@ilog.com. Overview. Agenda. About ILOG Brief introduction to constraint programming Exploring combinatorial optimization

811 views • 41 slides

An Approach to Accelerate Heuristic for Exam Timetabling

An Approach to Accelerate Heuristic for Exam Timetabling. Jiawei Li (Michael). Outlines. Introduction of exam timetabling Basic knowledge A simple example What this approach is Literature review Approach of combining exams Conditions for combining exams Compatibility measure

397 views • 27 slides

Optimization in Dynamic Environments

Optimization in Dynamic Environments. Ernesto Costa DEI/CISUC ernesto@dei.uc.pt http://www.dei.uc.pt/~ernesto/. Summary. Agents, Problems and Environments Agents: Natural Selection and Genetics Problems:Optimization Environments: Dynamic Optimization and Dynamic Environments

360 views • 26 slides

291 views • 18 slides

CSE 546 Data Mining Machine Learning

CSE 546 Data Mining Machine Learning. Instructor: Pedro Domingos. Logistics. Instructor: Pedro Domingos Email: pedrod@cs Office: CSE 648 Office hours: Wednesdays 3:30-4:20 TA: Hoifung Poon Email: hoifung@cs Office: 220 Office hours: Mondays 1:30-2:20 Web: www.cs.washington.edu/546

342 views • 17 slides

Computational Intelligence Winter Term 2010/11

270 views • 16 slides

Computational Intelligence Winter Term 2012/13

260 views • 16 slides

Computational Intelligence Winter Term 2013/14

264 views • 16 slides

Computational Intelligence Winter Term 2011/12

299 views • 15 slides

Computational Intelligence Winter Term 2010/11

253 views • 15 slides

Computational Intelligence Winter Term 2011/12

263 views • 15 slides

Computational Intelligence Winter Term 2009/10

230 views • 12 slides

Agenda

341 views • 11 slides

Thema: Kwantitatieve beleidsmethoden

Major/minor Kwantitatieve methoden (HIR) Predoctoraal traject (HIR) Minor Business Research (TEW/MBE) maart 2014. Thema: Kwantitatieve beleidsmethoden. HIR TEW/MBE. Statistische en econometrische methoden Optimalisatietechnieken uit operationeel onderzoek

215 views • 8 slides

141 views • 6 slides