Abstract: Recently, gradient-based repair methods have been commonly introduced into constraint-handling techniques to handle linear and non-linear constraints. These gradient-based repair methods are ...

This paper addresses the optimization of community group-buying distribution paths by considering both cost efficiency and time constraints. Focusing on dense neighbourhoods where such services thrive ...

Introduction: The objective of this study was to evaluate the effects of Constraint-Induced Movement Therapy (CIMT) on hemiplegic shoulder pain (HSP), shoulder range of motion (ROM) and upper ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

1 College of Mechanical Engineering, Chaohu University, Hefei, China. 2 School of Mechanical Engineering, Anhui University of Technology, Maanshan, China. To improve smart car drive performance and ...

Abstract: Transforming a constrained optimization problem (COP) into a multi/many-objective optimization problem (MOP/MaOP) represents a practical approach for solving COPs. This article introduces an ...

Hi, I saw in the tutorial there are various way to define constraints, and I have a problem of which function to use for the following complex constraints. Suppose I have 10 input variables x and each ...

VTSMOC is a sample-efficient and computationally lightweight multi-objective Bayesian optimization method tailored for high-dimensional input spaces. VTSMOC employs a Voronoi tree structure to ...

The patient-reported measures evaluated in this study showed moderate or weak correlations with objective measures of physical function. Correlation between patient-reported physical function and ...