Optimization problems are prevalent in a variety of real-world applications, including
medical, engineering, chemical, and others, and must be precisely solved to enhance the …

Abstract Moth Flame Optimization (MFO) is a nature-inspired optimization algorithm, based
on the principle of navigation technique of moth toward moon. Due to less parameter and …

Artificial rabbits (AR) optimization is a newly proposed swarm intelligence algorithm. The
idea of AR optimization (ARO) is inspired by the nature behaviors of the AR including the …

Sand cat swarm optimization algorithm (SCSO) keeps a potent and straightforward meta-
heuristic algorithm derived from the distant sense of hearing of sand cats, which shows …

Introducing thermal energy storage (TES) and solar energy effectively reduces fossil fuel
consumption and greenhouse gas emissions in combined cooling, heating, and power …

Metaheuristic algorithms have wide applicability, particularly in wireless sensor networks
(WSNs), due to their superior skill in solving and optimizing many issues in different …

The PV system encounters severe power loss due to the existence of unavoidable partial
shading that is mainly overcome by reconfiguration techniques. Besides the advantage of …

Cloud computing has revolutionized the way a variety of ubiquitous computing resources
are provided to users with ease and on a pay-per-usage basis. Task scheduling problem is …

In recent years, extensive studies have been carried out in community detection for social
network analysis because it plays a crucial role in social network systems in today's world …

MicroRNAs (miRNA) are small, non-coding regulatory molecules whose effective alteration
might result in abnormal gene manifestation in the downstream pathway of their target …