Results 131 to 140 of about 38,337 (244)
Learning optimal objective values for MILP
Modern Mixed Integer Linear Programming (MILP) solvers use the Branch-and-Bound algorithm together with a plethora of auxiliary components that speed up the search. In recent years, there has been an explosive development in the use of machine learning for enhancing and supporting these algorithmic components. Within this line, we propose a methodology
Scavuzzo, Lara +2 more
openaire +2 more sources
A MILP Approach to Accommodate More Wind Generation in Distribution Networks
, 2017 Yue-chun Lv +6 more
openalex +1 more source
Design and Implementation of an Heuristic-Enhanced Branch-and-Bound Solver for MILP [PDF]
, 2022 Warley Almeida Silva +6 more
openalex +1 more source
AKTIVITAS ANTIOKSIDAN EKSTRAK ETANOL DAUN BEROMA (Cajanus cajan (L.) Milps)
, 2019 Mirnawati Salampe +3 more
openalex +2 more sources
Using MILP for UAVs Trajectory Optimization under Radar Detection Risk
, 2006 José J. Ruz +3 more
openalex +1 more source
Bi-level Optimal Edge Computing Model for On-ramp Merging in Connected Vehicle Environment [PDF]
, 2019 Ahn, Heejin +6 more
core +1 more source
Code Retrieval for MILP Instance Generation
Mixed-Integer Linear Programming (MILP) is widely used in fields such as scheduling, logistics, and planning. Enhancing the performance of MILP solvers, particularly learning-based solvers, requires substantial amounts of high-quality data. However, existing methods for MILP instance generation typically necessitate training a separate model for each ...
Yang, Tianxing, Ye, Huigen, Xu, Hua
openaire +2 more sources
Balanced Team Formation Using Hybrid Graph Convolution Networks and MILP [PDF]
Mohamed A. Sharaf, Turki G. Alghamdi
openalex +1 more source
Efficient Solution of Distributed MILP in Control of Networked Systems
, 2020 Zonglin Liu, Olaf Stursberg
openalex +1 more source