Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

Corrosion presents a daunting challenge to the oil and gas industry, resulting in substantial
maintenance expenses and productivity losses. Conventional corrosion monitoring …

This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …

This paper presents an evolved chimp optimization algorithm (ChOA) that uses greedy
search (GS) and opposition-based learning (OBL) to respectively increase the ChOA's …

Offloading is one of the critical enablers of the Internet of Things (IoT) as it helps overcome
the resource limitations of individual objects. Offering enough computational power for IoT …

The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …

Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

This study explores the transformation process within the oil and gas sector of the extractive
industry. It examines the move from conventional oil and mineral extraction methods towards …

The recently proposed swarm intelligence algorithm, Runge–Kutta Optimization (RUN), is
rooted in the fourth-order Runge–Kutta method. Compared with its counterparts, RUN …