As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

Attaining highly secure and safe operation of the grid with acceptable voltage levels has
become a difficult issue for electricity companies that must adopt remedial actions. The …

The complexity and high dimensions of big data sonar, as well as the unavoidable presence
of unwanted signals such as noise, clutter, and reverberation in the environment of sonar …

Incorporating photovoltaic (PV) inverters in power distribution systems via static
synchronous compensators (PV-STATCOM) during the nighttime has lately been described …

This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …

A new metaheuristic can be developed by constructing from scratch, modifying the existing
metaheuristics, or hybridizing some metaheuristics. This work presents a new metaheuristic …

This paper presented a new metaheuristic technique, namely the guided pelican algorithm
(GPA). GPA has the improvements for a shortcoming algorithm, namely the pelican …

The identification of parameters in solar cell models is still a major challenge in photovoltaic
(PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability …

Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

This research introduced a novel simple metaheuristic called as total interaction algorithm
(TIA). TIA is a swarm intelligence which relies on the interaction among solutions in the …