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06/22/2022
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
Automated model selection is often proposed to users to choose which mac...
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05/11/2022
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
This work provides the exact expression of the probability distribution ...
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10/13/2020
Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value
The general problem in this paper is vertex (node) subset selection with...
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06/14/2020
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning
Morpion Solitaire is a popular single player game, performed with paper ...
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03/15/2020
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
Crew pairing optimization (CPO) is critically important for any airline,...
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03/12/2020
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
The landmark achievements of AlphaGo Zero have created great research in...
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03/09/2020
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases Billion-Plus Variables
Airline scheduling poses some of the most challenging problems in the en...
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03/08/2020
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
Airline crew cost is the second-largest operating cost component and its...
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04/26/2019
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
In the field of multi-objective optimization algorithms, multi-objective...
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03/19/2019
Hyper-Parameter Sweep on AlphaZero General
Since AlphaGo and AlphaGo Zero have achieved breakground successes in th...
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10/14/2018
Assessing the Potential of Classical Q-learning in General Game Playing
After the recent groundbreaking results of AlphaGo and AlphaZero, we hav...
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02/16/2018
Monte Carlo Q-learning for General Game Playing
Recently, the interest in reinforcement learning in game playing has bee...
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02/04/2017
Cluster-based Kriging Approximation Algorithms for Complexity Reduction
Kriging or Gaussian Process Regression is applied in many fields as a no...
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09/26/2016
An Ontology of Preference-Based Multiobjective Metaheuristics
User preference integration is of great importance in multi-objective op...
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12/31/2015
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control
Constrained optimization of high-dimensional numerical problems plays an...
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03/13/2013