GitHub

Learning-to-Optimize for Mixed-Integer Non-Linear Programming

Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...
GitHub

Learning-to-Optimize for Mixed-Integer Non-Linear Programming

Overview Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two ...
IEEE

A Hierarchical-Objective Management Model for Dedicated Lanes of Connected Automated Vehicles on Highways

Abstract: This paper proposes a hierarchical-objective mixed integer nonlinear programming model for the coordinated management of DL allocation and CAV routing on highways. The proposed model ...
IEEE

A Novel Solution Technique for the Expansion Planning of Modern Distribution Systems: A Feasibility-Driven Approach

Abstract: This paper proposes a novel solution technique using a matheuristic approach to address the expansion planning of modern distribution systems. The planning problem can be accurately modeled ...