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 …

Constrained multi-objective optimization problems (CMOPs) are widespread in practical
applications such as engineering design, resource allocation, and scheduling optimization …

Recently, sustainable energy consumption has been a significant factor in reducing
environmental degradation due to the high economic growth, and this phenomenon …

This study contributes to construct the mathematical model of hybrid dynamic economic
emission dispatch (HDEED) considering renewable energy generation and propose a novel …

One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …

Evolutionary constrained multiobjective optimization has received extensive attention and
research in the past two decades, and a lot of benchmarks have been proposed to test the …

In recent times, the landscape of power systems has undergone significant evolution,
particularly with the integration of diverse renewable energy sources (RESs). This …

This paper delves into the increasingly complex domain of Optimal Power Flow (OPF) within
modern power systems, enhanced by the integration of unpredictable renewable energy …

With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …