9 citations · 21 across the 4 of their papers we have counts for
4 papers
Learning Enhanced Optimisation for Routing Problems
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar +2
Deep learning approaches have shown promising results in solving routing problems. However, there is still a substantial gap in solution quality between machine learning and operat…
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei +1
Using machine learning in solving constraint optimization and combinatorial problems is becoming an active research area in both computer science and operations research communitie…
A two-stage stochastic approach for the asset protection problem during escaped wildfires with uncertain timing of a wind change
Iman Roozbeh, John Hearne, Babak Abbasi +1
Wildfires are natural disasters capable of damaging economies and communities. When wildfires become uncontrollable, Incident Manager Teams (IMT's) dispatch response vehicles to ke…
SPSA-FSR: Simultaneous Perturbation Stochastic Approximation for Feature Selection and Ranking
Zeren D. Yenice, Niranjan Adhikari, Yong Kai Wong +3
This manuscript presents the following: (1) an improved version of the Binary Simultaneous Perturbation Stochastic Approximation (SPSA) Method for feature selection in machine lear…