In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

Nature computing has evolved with exciting performance to solve complex real-world
combinatorial optimization problems. These problems span across engineering, medical …

This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …

This study developed a novel optimization algorithm, called Forensic-Based Investigation
(FBI), inspired by the suspect investigation–location–pursuit process that is used by police …

Real-time, accurate, and stable forecasting plays a vital role in making strategic decisions in
the smart grid (SG). This ensures economic savings, effective planning, and reliable and …

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

Throughout the last decade, high-dimensional function optimization problems have received
substantial research interest in the field of intelligence computation. Butterfly optimization …

Soil moisture of maize has an extremely important impact on the growth and development of
maize. Failure to accurately estimate soil moisture will lead to severe reductions in maize …

The development of advanced metering infrastructure (AMI) in smart grid (SG) had enabled
consumers to participate in demand-side management (DSM) using the price-based …