Brain-Computer Evolutionary Multi-Objective Optimization (BC-EMO): A Genetic Algorithm Adapting to the Decision Maker

The centrality of the decision maker (DM) is widely recognized in the Multiple Criteria Decision Making community. This translates into emphasis on seamless human-computer interaction, and adaptation of the solution technique to the knowledge which is progressively acquired from the DM. This paper adopts the methodology of Reactive Optimization(RO) for evolutionary interactive multi-objective optimization. RO follows to the paradigm of learning while optimizing"