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

Evolutionary computation is a rapidly evolving field and the related algorithms have been
successfully used to solve various real-world optimization problems. The past decade has …

Job shop scheduling (JSS) is a process of optimizing the use of limited resources to improve
the production efficiency. JSS has a wide range of applications, such as order picking in the …

From the control theory, the best control gain produces a balance between the trajectory
tracking accuracy and control energy consumption. The random search of the bat algorithm …

Optimization of subsurface hydrocarbon production holds paramount importance for
decision-makers as it determines crucial development strategies such as optimal well …

As global energy crises and climate change intensify, offshore wind energy, as a renewable
energy source, is given more attention globally. The wind power generation system is …

Traditional A-star algorithms encounter challenges such as an excess of turning points,
significant turning angles, and proximity of turning points to obstacles. These issues can …

The computational analysis of real-world engineering problems often relies on time-
consuming simulation calculations. This presents challenges in balancing computational …

Evolutionary computation is a powerful tool for solving nonconvex optimization problems.
Generally, evolutionary algorithms take numerous fitness evaluations to obtain the potential …

Ceramic electrochemical cells (CECs) are promising devices for clean and efficient energy
conversion and storage due to their high energy efficiency, more extended system durability …