Proyecto Grupo de Investigación PGI 2017, UNS, ARGENTINA

 Sequential and parallel algorithms will be designed and implemented in order to solve efficiently complex problems in the field of engineering. Multi-objective problems will be solved by means of metaheuristics, such as Genetic Algorithms, Ant Colony Optimization and Simulated Annealing, exploring and proposing convenient hybridizations. Besides, Artificial Neural Networks will be applied to modelling and predicting the presence of urban pollutants, like PM10 and NOx.

In particular, the following areas will be addressed: public transport planning, pollution modelling, pipeline network design for hydrocarbon transport, optimization and design of industrial processes related to the use of natural resources.