Furthermore, recent study (Pang et al., 2022) pointed out a counterintuitive observation that traditional EMO algorithms performs better than state-of-the-art LEMO algorithms on some LSMOPs. Inspired ...

In particular, Evolutionary Algorithms (EAs) have been widely used to find the optimal solution (s) in de novo design Devi et al. (2015); Le and Winkler (2015). EAs are population-based metaheuristics ...

A multi-objective improved differential evolution algorithm is used to solve the HEMSs. Based on the outcome, PV, ESS, and PHEV reduce the costs and also reduce the wasted energy of PV close to zero.

Over the past few years, a variety of surrogate-assisted evolutionary algorithms have emerged, aiming to tackle expensive multi-objective optimization problems. On the other hand, as the problem's ...

The team's findings further revealed that, while multi-objective evolutionary algorithms hold significant potential, they still struggle with low search efficiency.

Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...