'Tabu search' presentation slideshows

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 5

Chapter 5. Local Search. Outline. Local search basics General local search algorithm Hill-climbing Tabu search Simulated Annealing WSAT Conclusions. What is local search?. Local search is a family of general-purpose techniques for search and optimization problems.

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Tabu Search for Model Selection in Multiple Regression

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General Purpose Procedures Applied to Scheduling

General Purpose Procedures Applied to Scheduling. Contents Constructive approach 1. Dispatching Rules Local search 1. Simulated Annealing 2. Tabu-Search 3. Genetic Algorithms. Constructive procedures : 1. Dispatching Rules 2. Composite Dispatching Rules 3. Dynamic Programming

598 views • 38 slides

A hybrid heuristic for an inventory routing problem

528 views • 37 slides

Sadiq M. Sait June 15, 2003 King Fahd University of Petroleum & Minerals Dhahran

Parallelization of Iterative Heuristics for Performance Driven Low-Power VLSI Standard Cell Placement Research Committee Project Seminar. Sadiq M. Sait June 15, 2003 King Fahd University of Petroleum & Minerals Dhahran. Outline. Introduction Parallel CAD & Environments

454 views • 33 slides

XXXV SBPO Natal , 4-7 de novembro de 200 3

XXXV SBPO Natal , 4-7 de novembro de 200 3. A Tabu Search Heuristic for Partition Coloring with an Application to Routing and Wavelength Assignment. Thiago NORONHA Celso C. RIBEIRO. Introduction. The partition coloring problem (PCP)

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MULTI-AGENT BASED SCHEDULING

D. Ouelhadj ASAP (Automated Scheduling Optimisation and Planning) Research Group School of Computer Science and IT University of Nottingham, UK. MULTI-AGENT BASED SCHEDULING. Open Issues in Grid Scheduling, 2003. 1. Introduction 2. Multi-agent systems

503 views • 29 slides

Sadiq M. Sait June 15, 2003 King Fahd University of Petroleum & Minerals Dhahran

Parallelization of Iterative Heuristics for Performance Driven Low-Power VLSI Standard Cell Placement Research Committee Project Seminar. Sadiq M. Sait June 15, 2003 King Fahd University of Petroleum & Minerals Dhahran. Outline. Introduction Parallel CAD & Environments

400 views • 29 slides

Facility Design-Week 8 BASIC ALGORITHMS FOR THE LAYOUT PROBLEM

Facility Design-Week 8 BASIC ALGORITHMS FOR THE LAYOUT PROBLEM. Anastasia Lidya Maukar. Introduction. Heuristic Algorithm Construction Algorithm: MST, CORELAP, ALDEP Improvement Algorithm: CRAFT, 2-Opt & 3 Opt Algorithm Hybrid Algorithm: BLOCPLAN

596 views • 27 slides

Survivable Mapping Algorithm by Ring Trimming (SMART) for large IP-over-WDM networks

BroadNets 2004, October 25-29, San Jose. Survivable Mapping Algorithm by Ring Trimming (SMART) for large IP-over-WDM networks. Maciej Kurant, Patrick Thiran Swiss Federal Institute of Technology - Lausanne (EPFL), Switzerland. Link-survivable mapping. Connected. Logical topology.

453 views • 27 slides

Hybrid Evolutionary Algorithms

Hybrid Evolutionary Algorithms. Chapter 10. Overview. Why to Hybridise Where to hybridise Incorporating good solutions Local Search and graphs Lamarckian vs. Baldwinian adaptation Diversity Operator choice. Why Hybridise. Might want to put in EA as part of larger system

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Solving the Open Vehicle Routing Problem: New Heuristic and Test Problems

Solving the Open Vehicle Routing Problem: New Heuristic and Test Problems. Feiyue Li Bruce Golden Edward Wasil INFORMS San Francisco November 2005. Introduction. ? Open Vehicle Routing Problem (OVRP) A vehicle does not return to the depot after servicing the last customer on a route

407 views • 22 slides

Escaping Local Optima

Escaping Local Optima. Where are we?. Optimization methods. Complete solutions. Partial solutions. Exhaustive search Branch and bound Greedy Best first A* Divide and Conquer Dynamic programming. Exhaustive search Hill climbing. Improved methods based on complete solutions.

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Introduction

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DYNAMIC PATIENT ADMISSION SCHEDULING PROBLEM

DYNAMIC PATIENT ADMISSION SCHEDULING PROBLEM. CS 365: Artificial Intelligence Instructor : Amitabha Mukerjee Students : Rohitangsu Das Xavier Valcarcel. Summary. Presentation of the problem Motivations Problem constraints Work already done Our goal References.

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Predicting consumer sentiments from online text

Predicting consumer sentiments from online text. Presenter: Jun-Yi Wu Authors: Xue Bai. ???????? National Yunlin University of Science and Technology. 2011 DSS. Outline. Motivation Objective Methodology Experiments Conclusion Comments. Motivation.

233 views • 13 slides

Revision Main textbooks:

Revision Main textbooks: Operations Scheduling with Applications in Manufacturing and Services , Michael Pinedo and Xiuli Chao, McGraw Hill, 2000. Scheduling, Theory, Algorithms, and Systems , Michael Pinedo, Prentice Hall, 1995, or new: Second Addition, 2002. 1. Introduction (6)

248 views • 11 slides