Evaluating Bio-Inspired Metaheuristics for Dynamic Surgical Scheduling: A Resilient Three-Stage Flow Shop Model Under Stochastic Emergency Arrivals. [PDF]
Becerra-Rozas M +8 more
europepmc +1 more source
ABSTRACT This study investigates the nexus between financial inclusion, institutional quality, and female labor force participation in sub‐Saharan Africa over the period 1990–2023. Using panel data for 43 countries and employing OLS, FGLS, and dynamic GMM estimators, the analysis examines whether access to financial institutions and financial markets ...
Joshua Chukwuma Onwe +3 more
wiley +1 more source
Multi-objective optimization of gold price forecasting using the pareto alpha-cut technique. [PDF]
Bhavana P.
europepmc +1 more source
Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen +7 more
wiley +1 more source
An improved multi-objective animated oat optimization algorithm for resource-constrained construction project organization design. [PDF]
Xue Q +5 more
europepmc +1 more source
One Yeast, Sixteen Synthetic Chromosomes, Infinite Possibilities
ABSTRACT The evolution of the yeast, Saccharomyces cerevisiae, from a genetically tractable model organism to a chassis for genome‐scale engineering represents one of the most influential trajectories in eukaryotic biology. The Synthetic Yeast Genome Project (Sc2.0) embodies the current height of this trajectory, having now delivered functional ...
Edward Archer +4 more
wiley +1 more source
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
Adaptive airspace allocation model for urban drone logistics using multi-objective optimization under uncertainty. [PDF]
Zhu Y, Sun X, Hou T.
europepmc +1 more source
Who expands the human creative frontier with generative AI: Hive minds or masterminds? [PDF]
Zhou EB, Lee D, Gu B.
europepmc +1 more source

