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Adaptive solution prediction for combinatorial optimization
This paper aims to predict optimal solutions for combinatorial optimization problems (COPs)
via machine learning (ML). To find high-quality solutions efficiently, existing work uses a ML …
via machine learning (ML). To find high-quality solutions efficiently, existing work uses a ML …
Saving computational budget in Bayesian network-based evolutionary algorithms
During the evolutionary process, algorithms based on probability distributions for generating
new individuals suffer from computational burden due to the intensive computation of …
new individuals suffer from computational burden due to the intensive computation of …
[PDF][PDF] Multi-shot Solution Prediction for Combinatorial Optimization
Y Shena, XL Yuan Sunb, A Eberhardc… - arxiv preprint arxiv …, 2022 - academia.edu
This paper aims to predict optimal solutions for combinatorial optimization problems (COPs)
via machine learning (ML). To find high-quality solutions efficiently, existing methods use a …
via machine learning (ML). To find high-quality solutions efficiently, existing methods use a …
[PDF][PDF] Enhancing combinatorial optimization through solution prediction using machine learning
S Yunzhuang - 2023 - research-repository.rmit.edu.au
An unceasing pursuit in large-scale combinatorial optimization is to find feasible solutions
with improved quality and speed. Modern MIP solvers have incorporated a wide array of …
with improved quality and speed. Modern MIP solvers have incorporated a wide array of …