Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

Thermal system optimization is always a challenging task due to several constraints and
critical concepts of thermo-hydraulic aspects. Heat exchangers are one of those devices that …

The thermal power plants, electrical industries, and transportation are the major source of
emission of pollutant gases. Renewable energy sources (RES) such as wind plants and …

The combined scheduling of hydro, thermal and hybrid energy (ie, wind and solar) is
attracting more and more attention nowadays. This paper explores the contribution of …

Electric vehicles have become a standard means of transportation in the last 10 years. This
paper aims to formalize design optimization problems for electric vehicle components. It …

In the current era of industrialization, renewable energy (such as wind and solar energy)
plays an significant role in power generation sector, and it helps to decrease the generation …

This paper deals with sine cosine algorithm to make a balance between exploration and
exploitation of the search space and find best convergence rate for global optima, that are …

Due to the insufficient consideration of medium and long-term wind power contract power in
short-term dispatch, long-term planning and real-time consumption of wind power cannot be …

The sooty tern optimization algorithm (STOA) has been used in this study to solve and
optimize the dynamic economic emission dispatch (DEED) problem. The main aim of the …

The sine cosine algorithm (SCA) is a simple and effective optimization method. However, it
may exhibit stagnation behaviour in addressing complex optimization problems. Therefore …