Presentation

Rafa's Photo

Rafael Martí is Professor in the Statistics and Operations Research department at the University of Valencia, Spain. His office (#423) is located in the third floor of the Faculty of Mathematics (Campus de Burjassot). His teaching is devoted to the introduction of Statistics in Social Sciences, Integer and Linear Programming in Mathematics and heuristics in postgraduate studies (master and doctoral). His research interest focuses on the development of metaheuristics for hard optimization problems. He is co-author of the Scatter Search (Kluwer 2003) and The Linear Ordering Problem (Springer 2011) monographs. Prof. Martí is currently Area Editor in the Journal of Heuristics and Associate Editor in the Mathematical Programming Computation and the International Journal of Metaheuristics. He has published a large number of JCR-indexed journal papers and coordinates the cooperation project "Schools of Nicaragua".

Rafael Martí es Catedrático de Universidad en el departamento de Estadística e Investigación Operativa de la Universitat de València. Su despacho (#423) está en la tercera planta de la Facultad de Matemáticas (Campus de Burjassot). Desarrolla su labor docente en materias de introducción a la estadística en el área de sociales, la programación lineal y la entera en matemáticas y los procedimientos heurísticos en postgrado (master y doctorado). Su labor investigadora se centra en el desarrollo de procedimientos metaheurísticos en problemas de optimización. Es co-autor de las monografías Scatter Search editada por Kluwer (2003) y The Linear Ordering Problem editada por Springer (2011). El profesor Martí actualmente es editor de área de la revista Journal of Heuristics y editor asociado de las revistas Mathematical Programming Computation e International Journal of Metaheuristics. Ha publicado numerosos artículos en revistas indexadas en el JCR y coordina el proyecto de cooperación al desarrollo Escoles de Nicaragua.

OPTSICOM

Research project

Rafael Martí coordinates the OPTSICOM research project. The acronym comes from Optimization of Complex Systems. In this project we develop algorithms, based on metaheuristic methods, which integrated in a software, solve hard optimization problems. It has been funded by the Ministerio de Ciencia e Innovación under codes TIN2006-02696 (2007-2009) and TIN2009-07516 (2010-2012). In the OPTSICOM website codes, instances and best known solutions for the problems in which we are working are available.


Latest publications

Pseudo-Cut Strategies for Global Optimization
F. Glover, L. Lasdon, J. Plummer, A. Duarte, R. Martí and M. Laguna
International Journal of Applied Metaheuristic Computing. Accepted in December 2011

Tabu search with Strategic Oscillation for the maximally diverse grouping problem
Micael Gallego, Manuel Laguna, Rafael Martí and Abraham Duarte,
Journal of the Operational Research Society. Accepted in November 2011

Metaheuristics for the Linear Ordering Problem with Cumulative Costs
Abraham Duarte, Rafael Martí, Ada Álvarez and Francisco Ángel-Bello
European Journal of Operational Research Accepted in August 2011

Heuristics and Metaheuristics for the Maximum Diversity Problem
Rafael Martí, Micael Gallego and Abraham Duarte, Journal of Heuristics Accepted in June 2011

Scatter search and Path Relinking. A tutorial on the Linear Arrangement
R. Martí, J. Pantrigo, A. Duarte, V. Campos and F. Glover,
International Journal of Swarm Intelligence Research Accepted in May 2011

Scatter Search for the cutwidth Minimization Problem
J.J. Pantrigo, R. Martí, A. Duarte and E.G. Pardo, Annals of Operations Research Accepted in May 2011

GRASP and PR hybridizations for the point matching based Image Registration problem
J. Santamaría, O. Cordón, S. Damas, R. Martí and J. Palma, Journal of Heuristics, Accepted in March 2011

Contact

Professional address

rafael.marti@uv.es
(34) 96.3543090
Dpto. de Estadística e I. O.
Facultad de Matemáticas
Dr. Moliner 50, 46100
Burjassot, Valencia, España

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Conferences & Journals on Optimization


Networks

Scientific Networks on Heuristic Optimization


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