Evolutionary multi-objective optimization aims to provide a representative subset of the
Pareto front to decision makers. In practice, however, decision makers are usually interested …

Decomposition via scalarization is a basic concept for multiobjective optimization. The
weighted sum (WS) method, a frequently used scalarizing method in decomposition-based …

Decomposition-based algorithms have become increasingly popular for evolutionary
multiobjective optimization. However, the effect of scalarizing methods used in these …

With the increasing attention paid to many-objective optimization in the evolutionary multi-
objective optimization community, various approaches have been proposed to solve many …

Evolutionary many-objective optimization has been gaining increasing attention from the
evolutionary computation research community. Much effort has been devoted to addressing …

Decomposition-based multiobjective evolutionary algorithm has shown its advantage in
addressing many-objective optimization problem (MaOP). To further improve its …

The design of hybrid renewable energy system (HRES) is crucial in terms of providing
reliable power by renewable energies. So far, a number of studies have been conducted …

Due to the scarcity of conventional energy resources and the greenhouse effect, renewable
energies have gained more attention. This paper proposes methods for multi-objective …

Hybrid renewable energy system (HRES) has continuously been demonstrated effective in
making use of renewable energies, eg, solar, wind. This study proposes a novel multi …

Multi-objective evolutionary algorithm based on decomposition (MOEA/D) has continuously
proven effective for multi-objective optimization. So far, the effect of weight vectors and …