18 citations · 52 across the 8 of their papers we have counts for
3 papers · 1 filter
Machine learning with incomplete datasets using multi-objective optimization models
Hadi A. Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning techniques have been developed to learn from complete data. When missing values exist in a dataset, the incomplete data should be preprocessed separately by removi…
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning
Yuan Sun, Sheng Wang, Yunzhuang Shen +3
This paper introduces an enhanced meta-heuristic (ML-ACO) that combines machine learning (ML) and ant colony optimization (ACO) to solve combinatorial optimization problems. To ill…
Dynamic Multi-objective Optimization of the Travelling Thief Problem
Daniel Herring, Michael Kirley, Xin Yao
Investigation of detailed and complex optimisation problem formulations that reflect realistic scenarios is a burgeoning field of research. A growing body of work exists for the Tr…