Sparse multi-objective optimization problems (SMOPs) frequently exist in a variety of
disciplines such as machine learning, economy, and signal processing. Evolutionary …

This study presents a sustainable thermal control method (energy pile technology) for bridge
piers in high-altitude regions, addressing the challenges posed by temperature variations in …

This paper aims to propose a generalizable parameter calibration framework for discrete
element method (DEM) and to develop the refined dynamic compaction DEM (RDCD) model …

In the background of exhaustion of the traditional fossil energy sources and environmental
deterioration, developing renewable energy has become a strategic choice for countries to …

Accurately assessing complementarity is a foundational work to the hydro-wind-solar hybrid
energy system planning and dispatching. However, the existing complementary assessment …

As one of the key parameters to characterize the life of lithium‐ion batteries, the state of
health (SOH) is of great importance in ensuring the reliability and safety of the battery …

A rolling bearing is a complex system consisting of the inner race, outer race, rolling
element, etc. The interaction of components may lead to composite faults. Selecting the …

The distributed permutation flowshop problem (DPFSP) has been extensively studied in
recent years. However, most of the research has overlooked the disturbance factors in the …

Abstract Burn-Through Point (BTP) is a critical state in the sintering process, and maintaining
a stable BTP is crucial for ensuring the quality of sintered products. However, the complex …

The main challenge in finding the optimal Pareto Front (PF) and Pareto Set (PS) sets for
multimodal multi-objective optimization problems (MMOPs) with conflicting objective …