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 …

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

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

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

During an era of rapid growth in electricity demand throughout society, accurate forecasting
of electricity loads has become increasingly important to guarantee a stable power supply …

Accurate and stable short-term traffic flow prediction is an indispensable part in current
intelligent transportation systems. In this paper, a novel short-term traffic flow forecasting …

This paper presents an economical-technical-environmental dispatch (ETED) model for an
adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy …

To a great extent, most of the power generation systems are dependent on fossil fuels, and
their rapid usage is not only declining the reserves but also producing the greenhouse …

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 …