Scientific Research Publishing

User Needs-Driven Service Path Optimization for Beijing Urban Reading Spaces: A Kano Model Perspective ()

Purpose: The urban reading spaces in Beijing serve as a pivotal component in transforming public libraries and promoting ...
IEEE

Solving Multi-objective Optimization Problems Via Selective Inheritance Meta-Reinforcement Learning

Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...
IEEE

Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example

Abstract: Tuning Model Predictive Control (MPC) cost weights for multiple, competing objectives is labor-intensive. Derivative-free automated methods, such as Bayesian Optimization, reduce manual ...