Over the last three decades, a large number of evolutionary algorithms have been developed
for solving multi-objective optimization problems. However, there lacks an upto-date and …

Evolutionary algorithms (EAs) have shown to be promising in solving many-objective
optimization problems (MaOPs), where the performance of these algorithms heavily depends on …

Major depressive disorder is a serious mental disorder that profoundly affects an individual's
quality of life. Although the aetiologies underlying this disorder remain unclear, an …

During the past two decades, a variety of multiobjective evolutionary algorithms (MOEAs)
have been proposed in the literature. As pointed out in some recent studies, however, the …

Both objective optimization and constraint satisfaction are crucial for solving constrained
multiobjective optimization problems, but the existing evolutionary algorithms encounter …

Evolutionary algorithms (EAs) have become one of the most effective techniques for multi-objective
optimization, where a number of variation operators have been developed to handle …

The effectiveness of evolutionary algorithms have been verified on multi-objective optimization,
and a large number of multi-objective evolutionary algorithms have been proposed …

Evolutionary algorithms have been shown to be powerful for solving multiobjective optimization
problems, in which nondominated sorting is a widely adopted technique in selection. …

PlatEMO is an open-source platform for solving complex optimization problems, which
provides a variety of metaheuristics including evolutionary algorithms, swarm intelligence …

Constrained multiobjective optimization problems (CMOPs) are challenging because of the
difficulty in handling both multiple objectives and constraints. While some evolutionary …