Optimizing Cooperative Community Hospital Selection for Post-Discharge Care with NSGA-II Algorithm. [PDF]
Wu Z, Li Y, Lu X.
europepmc +1 more source
Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels
Methods for inclusion analysis are evaluated for suitability. Various powder metallurgical steels in different processing states are characterized. SEM/EDS data are further analyzed using analytical and statistical approaches. A thermodynamic method for determining inclusion phase composition is tested.
Manuel Schickbichler +5 more
wiley +1 more source
A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems. [PDF]
Duraisamy S, Thangavelu V.
europepmc +1 more source
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee +2 more
wiley +1 more source
Improved many-objective particle swarm optimization based welding sequence optimization research. [PDF]
Dong L, Gu S, Dong J, Ji Q, Liu J.
europepmc +1 more source
Most countries, including Japan, are focused on achieving net‐zero greenhouse gas (GHG) emissions by 2050, which requires quick action. Despite the increasing level of renewable power generation in power grids, fossil fuel power plants still have a significant role in producing GHG emissions, causing serious environmental issues.
Kadyrbek Kozhobekov +4 more
wiley +1 more source
Pareto optimality reveals an atlas of cellular archetypes. [PDF]
Crowley G, Alon U, Quake SR.
europepmc +1 more source
Pareto-based design of thermophotovoltaic micro-combustors via a novel framework combining IGWO-tuned ANN, multi-objective multi-verse optimization, and ARAS-based decision making. [PDF]
Alawad MA +7 more
europepmc +1 more source
Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou +4 more
wiley +1 more source
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo +5 more
wiley +1 more source

