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 …

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

The single-layer perceptron, introduced by Rosenblatt in 1958, is one of the earliest and
simplest neural network models. However, it is incapable of classifying linearly inseparable …

Water inflow is a typical and complicated geological hazard that may have a significant effect
on both the building timeline and the safety of a tunnel under construction. Therefore …

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 …