Towards Handling Many Objectives Initial Results Using NSGA-III

Existing Evolutionary Multi-objective Optimization (EMO) methods encounter some difficulties
in handling design problems characterized by more than three conflicting objectives. The invited lecture present the promising initial results of the NSGA III adaptive algorithm in dealing with such problems.