Community Microgrid offers effective energy harvesting from distributed energy resources
and efficient energy consumption by employing an energy management system (EMS) …

Most real-world problems involve some type of optimization problems that are often
constrained. Numerous researchers have investigated several techniques to deal with …

Handling constrained multiobjective optimization problems (CMOPs) is extremely
challenging, since multiple conflicting objectives subject to various constraints require to be …

When solving constrained multiobjective optimization problems, an important issue is how to
balance convergence, diversity, and feasibility simultaneously. To address this issue, this …

To prevent the population from getting stuck in local areas and then missing the constrained
Pareto front fragments in dealing with constrained multiobjective optimization problems …

The tourism industry is a key driver of economic growth and contributes to the achievement
of sustainability goals. This paper presents a multi-objective group tourist planning problem …

Convergence, diversity and feasibility are three important issues when solving constrained
multiobjective optimization problems (CMOPs). To deal with the balance among …

When solving constrained multi-objective optimization problems (CMOPs), keeping
infeasible individuals with good objective values and small constraint violations in the …

Abstract Unmanned Aerial Vehicle (UAV) path planning problems can be treated as
constrained multi-objective optimization problems, which often have complicated constraints …

The balance between multiple objectives and various constraints is the key to solving
constrained multi-objective optimization problems (CMOPs). When dealing with CMOPs with …