GIUV2023-589
The group's work includes developing mathematical optimisation tools to solve problems where optimal action needs to be taken with limited resources. A large number of theoretical and practical problems can be found that involve optimisation and can be applied in both industry and science. From the classic problems of telecommunications network design, localisation or production organisation to the latest software engineering and reengineering. Regardless of the nature of the situation that brings about each problem, a common feature to all is their complexity. As a result, complex mathematical models are needed to reflect the characteristics of the situation, as well as algorithms or procedures that generate the desired solutions with modern computer tools. Therefore, we will essentially develop exact and heuristic models and algorithms for solving different combinatorial optimisation problems that involve different areas such as engineering and logistics (routes, storage, location) among others. This includes the study of the properties of the problems studied, the analysis of new optimisation methods (linear and non-linear; continuous, integer and combinatorial; deterministic...The group's work includes developing mathematical optimisation tools to solve problems where optimal action needs to be taken with limited resources. A large number of theoretical and practical problems can be found that involve optimisation and can be applied in both industry and science. From the classic problems of telecommunications network design, localisation or production organisation to the latest software engineering and reengineering. Regardless of the nature of the situation that brings about each problem, a common feature to all is their complexity. As a result, complex mathematical models are needed to reflect the characteristics of the situation, as well as algorithms or procedures that generate the desired solutions with modern computer tools. Therefore, we will essentially develop exact and heuristic models and algorithms for solving different combinatorial optimisation problems that involve different areas such as engineering and logistics (routes, storage, location) among others. This includes the study of the properties of the problems studied, the analysis of new optimisation methods (linear and non-linear; continuous, integer and combinatorial; deterministic and stochastic), the development of efficient computational implementations of these methods and comparison with other previous methods if they exist.
[Read more][Hide]
[Read more][Hide]
- Dissenyar, implementar i provar models matematics i algorismes que proporcionen solucions optimes o aproximades a problemes d'optimitzacio.
- combinatorial optimization.Modelling and design and implementation of algorithms for problem solving in service localisation processes, planning of activities in manufacturing, logistics, etc. These include both deterministic and stochastic, mono-objective and multi-objective models.
- Metaheuristics algorithms.Analysis, design and implementation of metaheuristic algorithms for solving different optimisation problems
- Logistics.Analysis and development of quantitative and computer methods applied to the planning, sequencing, management and operation of distribution networks and passenger and freight transport. This includes route localisation optimisation problems.
| Name | Nature of participation | Entity | Description |
|---|---|---|---|
| ANNA MARTINEZ GAVARA | Director | Universitat de València | |
| Research team | |||
| JUAN FRANCISCO CORRECHER VALLS | Member | Universitat de València | |
| JUAN JOSE PEIRO RAMADA | Member | Universitat de València | |
| IVAN GIMENEZ PALACIOS | Member | Universitat de València | |
| RAFAEL MARTI CUNQUERO | Collaborator | Universitat de València | |
- -
- -
- combinatorial optimization; stochastic; nonlinear optimization; moltiobjective
- metaheuristics
- routing; location; planning; scheduling
