'Tabu list' diaporamas de présentation

An Agent-Based Algorithm for Generalized Graph Colorings

An Agent-Based Algorithm for Generalized Graph Colorings. Thang N. Bui and ThanhVu H. Nguyen Computer Science Program Penn State Harrisburg. Outline. Problems Definition ABGC Algorithm Results Conclusion. Outline. Problems Definition ABGC Algorithm Results Conclusion.

729 views • 60 slides

Iterative Computer Algorithms : and their applications in engineering

Iterative Computer Algorithms : and their applications in engineering. Sadiq M. Sait, Ph.D sadiq@kfupm.edu.sa Department of Computer Engineering King Fahd University of Petroleum and Minerals Dhahran, Saudi Arabia Special Talk for Motorola CAD Group, Austin. Talk outline.

610 views • 52 slides

Evolutionary Heuristics for Multiobjective VLSI Netlist Bi-Partitioning

495 views • 38 slides

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

597 views • 38 slides

General Iterative Heuristics for VLSI Multiobjective Partitioning

506 views • 38 slides

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

381 views • 38 slides

702 views • 33 slides

Evolutionary Algorithms, Simulated Annealing, and Tabu Search: A Comparative Study

Evolutionary Algorithms, Simulated Annealing, and Tabu Search: A Comparative Study. H. Youssef, S. M. Sait, H. Adiche {youssef,sadiq}@ccse.kfupm.edu.sa Department of Computer Engineering King Fahd University of Petroleum and Minerals Dhahran, Saudi Arabia. Talk outline.

428 views • 32 slides

Subject Name: Operation Research Subject Code: 10CS661 Prepared By:Mrs.Annapoorani Department:CSE

Subject Name: Operation Research Subject Code: 10CS661 Prepared By:Mrs.Annapoorani Department:CSE. UNIT 8-MetaHeuristics. 1.The Nature of Metaheuristics 2.Simulated Annealing 3.Tabu Search 4.Genetic Algorithms. Heuristics.

303 views • 30 slides

G5BAIM Artificial Intelligence Methods

G5BAIM Artificial Intelligence Methods. Tabu Search. Dr. Rong Qu. Characteristics of SA (review). Random selection of a neighbouring solution Probabilistic acceptance of non-improving solutions; The best solution is recorded: Lack of memory of history of search;

314 views • 30 slides

Teacher Assignment Program

Teacher Assignment Program. Maria Lizarraga Project Defense Master of Computer Science Tuesday June 29, 2010 Department of Computer Science University of Colorado, Colorado Springs. Agenda. Introduction Background Information Solution Test Results Lessons Learned Future Research

391 views • 26 slides

Tabu Search

Presenter: Leo, Shih-Chang, Lin Advisor: Frank, Yeong-Sung, Lin. Tabu Search. Agenda. What is Tabu search? Heuristic search Tabu search Characteristic Elements definition Tabu search process Algorithm Application ? TSP Related study. What is Tabu Search?.

586 views • 22 slides

??? ?? Ch 4 Heuristic Method

??? ?? Ch 4 Heuristic Method. 1. Introduction. Heuristic Procedure Capable of obtaining good solutions with limited computational effort. We need a measure for performances of heuristic procedures. Procedures based on Local Search: Simulated Annealing Tabu-search Genetic Algorithm

391 views • 20 slides

TABU SEARCH

TABU SEARCH. WHAT IS TABU SEARCH. TABU SEARCH IS WIDELY USED METAHEURISTIC THAT USES COMMON IDEAS TO ENABLE THE SEARCH PROCESS TO ESCAPE FROM A LOCAL OPTIMUM IN A NON LINEAR PROGRAMMING PROBLEM WITH MULTIPLE LOCAL OPTIMUM. NON LINEAR PROGRAMMING PROBLEM.

755 views • 18 slides

Local Search

Local Search. Local Search is an iterative algorithm that moves from one solution S to another S? according to some neighbourhood structure. 1. Iterative Improvement 2. Threshold Accepting 3. Simulated Annealing 4. Tabu search. General Local Search Procedure. Initialisation .

177 views • 17 slides

Multiple Sequence Alignment Using Tabu Search

Multiple Sequence Alignment Using Tabu Search. Tariq Riaz, Yi Wang, Kuo-Bin Li In Proc. Second Asia-Pacific Bioinformatics Conference (APBC2004), Dunedin, New Zealand. CRPIT, 29. Chen, Y.-P. P., Ed. ACS. 223-232 Date : Mar. 15, 2005. Abstract.

299 views • 15 slides

Tabu Search

Tabu Search. Subset of Slides from Lei Li, HongRui Liu, Roberto Lu. Introduction. Glover, F. 1986. Future Paths for Integer Programming and Links to Artificial Intelligence. Computers and Operations Research. Vol. 13, pp. 533-549.

295 views • 15 slides

G5BAIM Artificial Intelligence Methods

G5BAIM Artificial Intelligence Methods. Tabu Search. Characteristics of SA (review). Random selection of a neighbouring solution Probabilistic acceptance of non-improving solutions; The best solution is recorded: Lack of memory of history of search;

263 views • 14 slides

Tabu Search

Tabu Search. Contents 1. Basic Concepts 2. Algorithm 3. Practical considerations. Basic Concepts. Tabu-lists contains moves which have been made in the recent past but are forbidden for a certain number of iterations. Algorithm Step 1 . k =1

303 views • 7 slides

Tabu Search

Tabu Search. Contents 1. Basic Concepts 2. Algorithm 3. Practical considerations. Literature 1. Modern Heuristic Techniques for Combinatorial Problems, (Ed) C.Reeves 1995, McGraw-Hill. Chapter 3.

308 views • 7 slides