A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …

The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

This study introduces and assesses a hybrid renewable energy system tailored for a
practical, off-grid location. The integrated power system comprises a diesel generator …

Energy forecasting plays an important role in effective power grid management. The
widespread adoption of emerging technologies and the increased reliance on renewable …

This paper proposes a new population-based optimization algorithm called hunter–prey
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …

This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm
(ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group …

The economic model derived from the supply and demand of crude oil prices is a significant
component that measures economic development and sustainability. Therefore, it is …

Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge
based Algorithm (GSK) for solving optimization problems over continuous space. The GSK …