Vittorio Maniezzo

The scientific sector of major interest for Vittorio Maniezzo is computational algorithmics. Within this sector, the main research topics of current interest for me are:
1) mathematic programming methods for matheuristic design.
I am convinced of the opportunity of introducing mathematic programming elements into metaheuristic frameworks, both into current ones and into new ones to be designed for this purpose. The elements that I believe of greater interest are the bound to the cost of an optimal solution an dual variable costs. Following this research line, I first developed a specific variant of the Ant Colony Optimmizaton metaheuristic (ACO, an approach I contributed originally design), then I started a series of international workshops, named matheuristics, dedicated to the possibility of using mathematic programming elements inside metaheuristic contexts.

2) Decision Support Systems and Geographic Information Systems
I am extremely interested to the complete cycle of the optimizaton process: analysis of real-world problems, modelling, design of solution techniques, validation of computational results. The sector where I mainly had the opportunity to deploy optimizaton systems which were validated on real world problems (i.e., decision support systems) is computational logistics. Geographic Informatoin Systems are a precondition to the possibility of working on computational distribution logistics. The study of this sector led me to the design of a customized open-source GIS, named Ertha.

Further research topics of current or past interest for me are:
- naturally inspired algorithms, ant colony optimizaton (ACO);
- production scheduling, project scheduling;
- cognitive modelling, psychogenetic learning;
- cellular automata for dynamic processes simulation (traffic flows, pollutant dynamics).