The GERRI project materializes the Grenelle Environnement’s goals, of which the energy management of a territory is a facet. The aim is to forecast future energy production and consumption, bearing in mind economic and ecological indicators, and using a large number of interactions schemes between the involved parties. The originality of this paper is to present a new approach using the multi-a...

In the field of many-objective evolutionary optimization algorithms (MaOEAs), how to maintain balance between convergence and diversity has been a significant research problem. With increase number objectives, mutually nondominated solutions increases rapidly, multi-objective algorithms, based on Pareto-dominated relations, become invalid because loss selection pressure in environmental selecti...

Abstract Multi-objective particle swarm optimization algorithms encounter significant challenges when tackling many-objective problems. This is mainly because of the imbalance between convergence and diversity that occurs increasing selection pressure. In this paper, a novel adaptive MOPSO (ANMPSO) algorithm based on R2 contribution method developed to improve performance MOPSO. First, new glob...