OGA

OGA is a company specialized in Artificial Intelligence and Operations Research that bases its value on the development of digital twins of critical business processes in sectors such as industrial, logistics or defense. OGA provides services to top companies such as Indra, Coca-Cola, Iberdrola, or Abengoa. OGA creates data-driven business solutions in critical processes such as production or logistics of all types of organizations.
The collaboration between Prof. Martí and OGA started in 2022 when he joined the
Catedra board of technological experts to support their research. Since then, the collaboration has been extended with a contract (Feb. 2024) between the University of Valencia and OGA to directly participate in optimization projects.
SCOOP - OPTSICOM

Rafa Martí and Anna Martínez-Gavara
coordinate the research project entitled Supply Chain Optimization (SCOOP). This is a joint project with Rey Juan Carlos University (URJC) and includes 20 researchers. In this project we develop algorithms, based on metaheuristic methods, which integrated in a software, solve hard optimization problems. It is funded by the Spanish Goverment with codes PID2021-125709OB (2022-2024) and PID2024-160226OB-C21 (2025-2027).
The collaboration between our group and the URJC team (GRAFO) started in 2006 when Profs. Martí and Duarte published a paper
in the European Journal of Operational Research. Since then, both teams have published together almost 50 JCR-indexed papers
and 25 book chapters, and their research has been presented in more than 50 international conferences. This collaboration has
received remarkable evaluations on previous joint funded projects, such as: TIN2012-35632,
TIN2015-65460 or PGC2018-095322.
In the OPTSICOM website, codes, instances and best known solutions for the problems in which we are working are available.
You can directly download from here the LOLIB and
MDPLIB 2.0.
2025 Publications
TOP - Special Issue on Metaheuristics
R. Martí, R. Ruiz. Springer (2025)
Greedy Randomized Adaptive Search Procedures with Path Relinking.
An analytical review of designs and implementations
Laguna, M., Martí, R., Martínez-Gavara, A., Pérez-Peló, S., Resende, M.
European Journal of Operational Research, (Invited review). Available online (2025)
GRASP with Evolutionary Path Relinking for the Conditional p-Dispersion Problem
Sánchez-Oro, J., A. Martínez-Gavara, A.D. López-Sánchez, R. Martí, A. Duarte
Applied Soft Computing 168, 112494 (2025)
Fifty Years of Metaheuritics
Martí, R., Sorensen, K., Sevaux, M.
European Journal of Operational Research 321 (Invited review), 345-362 (2025)
The Multiple Linear Ordering Problem
Benito-Marimón, M., Martí, R., Martínez-Gavara, A.
European Journal of Operational Research, In evaluation
The Stochastic Scatter Search Metaheuristic
Martínez-Gavara, A., Keenan, P., Pariente, A., Martí, R., and Juan, A.
JORS, In evaluation