Results 151 to 160 of about 215,580 (317)
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
Does How Much and How You Pay Matter? Evidence from the Inpatient Rehabilitation Facility Prospective Payment System [PDF]
We use the implementation of a new prospective payment system (PPS) for inpatient rehabilitation facilities (IRFs) to investigate the effect of changes in marginal and average reimbursement on costs. The results show that the IRF PPS led to a significant
Jose J. Escarce +2 more
core
Long FBG sensor characterization of residual strains in AS4/PPS thermoplastic laminates
L. Sorensen, Thomas Gmür, John Botsis
openalex +2 more sources
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract The stoichiometric imbalance caused by nitrogen (N) deposition typically exacerbates phosphorus (P) limitation in plants. However, it remains unclear whether this effect extends to soil microbes, particularly those in the rhizosphere.
Jipeng Wang +5 more
wiley +1 more source
34th Annual Regional Conference of the Polymer Processing Society (PPS)
Kotaku Saigusa
openalex +2 more sources
ABSTRACT Objective The aim of this study was to assess how the use of the WHO Child Growth Standards (WHO GS) and the INTERGROWTH‐21st Standards (IG‐21st) affect the classification and interpretation of growth trajectories. Design A secondary data analysis of an observational cohort study.
Linda Vesel +5 more
wiley +1 more source

