A smart energy management controller can improve energy efficiency, save energy costs,
and reduce carbon emissions and energy consumption while accurately catering to …

The sine cosine algorithm (SCA) is a newly emerging optimization algorithm. It is easy for
sine cosine algorithm (SCA) to sink into premature of the algorithm and obtain a slower …

Microgrids are facing several operational and control issues while integrating with the grid.
To deal with it, STATCOM, as one of the emerging power converter circuits, is connected …

Recent work trend is to hybridize two and more variants in order to recognize better quality
of functional and remedies to the global challenges of optimisation. The newly formed Slime …

The paper is devoted to the adaptive control of pneumatic drives for the Stewart platform with
six degrees of freedom. Based on the approach known as the method of the implicit …

Swarm Intelligence based methods are amongst the highly efficient approaches for
optimization in image clustering. Optimal clustering has been studied in many real-world …

To design an efficient and effective search-based optimization methods for the
computationally hard many-objective optimization problems is a promising ongoing …

Excavating tunnels has become a widespread practice in the modern world, driven by the
need for efficient transportation, subterranean storage, and mineral supply. One challenge …

The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has
successfully solved many optimization problems and give better solution as compare to …

Carrot chasing guidance law is one of the most widely used path following algorithms due to
its simplicity and ease of implementation; however, it has a fixed parameter which leads to …