in real-world engineering optimization problems, newer algorithms such as Two-Stage NSGA-II (TS-NSGA-II), Dynamic Constrained NSGA-III (DCNSGA-III), MOEA/D with Virtual Objective Vectors (MOEA/D-VOV), ...

Multi-objective scheduling problems in workshops are commonly ... to enhance the scalability and computational efficiency of multiobjective evolutionary optimization algorithms (Trivedi et al., 2016).

The proposed surrogate-assisted multi-objective evolutionary algorithm with the proposed local search method is tested with Zitzler-Deb-Thiele (ZDT), Deb-Thiele-Laummans-Zitzler (DTLZ), and MAF ...

BioTeC+ & OPTEC, Department of Chemical Engineering ... one of the current state-of-the-art algorithms in genetic multi-objective optimisation has, however, two major shortcomings, inherent to ...

ABSTRACT: Firefly algorithm ... engineering optimization problems. Power system has many complex optimization problems one of which is the optimal power flow (OPF). Basically, it is minimizing ...

ABSTRACT: The subject area of multiobjective optimization deals with the investigation of optimization problems that possess more than one objective function. Usually, there does not exist a single ...