Thomas Philip Runarsson

Orcid: 0000-0002-1067-7694

According to our database1, Thomas Philip Runarsson authored at least 49 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2022
Ensemble learning using individual neonatal data for seizure detection.
CoRR, 2022

Active model learning for the student nurse allocation problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2019
Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine.
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019

Towards an evolutionary guided exact solution to elective surgery scheduling under uncertainty and ward restrictions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Discovering dispatching rules from data using imitation learning: A case study for the job-shop problem.
J. Sched., 2018

2017
Deep Preference Neural Network for Move Prediction in Board Games.
Proceedings of the Computer Games - 6th Workshop, 2017

2015
An Evolutionary Approach to the Discovery of Hybrid Branching Rules for Mixed Integer Solvers.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

On imitating Connect-4 game trajectories using an approximate n-tuple evaluation function.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

2014
Preference Learning for Move Prediction and Evaluation Function Approximation in Othello.
IEEE Trans. Comput. Intell. AI Games, 2014

A competitive coevolution scheme inspired by DE.
Proceedings of the 2014 IEEE Symposium on Differential Evolution, 2014

Asynchronous Parallel (1+1)-CMA-ES for Constrained Global Optimisation.
Proceedings of the ECTA 2014, 2014

Evolutionary Learning of Linear Composite Dispatching Rules for Scheduling.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling.
Proceedings of the ECTA 2014, 2014

2013
Coevolving Game-Playing Agents: Measuring Performance and Intransitivities.
IEEE Trans. Evol. Comput., 2013

2012
An experimental study of exhaustive solutions for the Mastermind puzzle
CoRR, 2012

Test-retest reliability and feature selection in physiological time series classification.
Comput. Methods Programs Biomed., 2012

Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Imitating play from game trajectories: Temporal difference learning versus preference learning.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011
Learning Heuristic Policies - A Reinforcement Learning Problem.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Sampling strategies in ordinal regression for surrogate assisted evolutionary optimization.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Detecting fraudulent whiplash claims by support vector machines.
Biomed. Signal Process. Control., 2010

Entropy-Driven Evolutionary Approaches to the Mastermind Problem.
Proceedings of the Parallel Problem Solving from Nature, 2010

Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

Beating exhaustive search at its own game: revisiting evolutionary mastermind.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2010

Assessing efficiency of different evolutionary strategies playing MasterMind.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

2008
Support vector machines and dynamic time warping for time series.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

2006
Ordinal Regression in Evolutionary Computation.
Proceedings of the Parallel Problem Solving from Nature, 2006

Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), 2006

Approximate Evolution Strategy using Stochastic Ranking.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Search biases in constrained evolutionary optimization.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go.
IEEE Trans. Evol. Comput., 2005

On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
An Asynchronous Parallel Evolution Strategy.
Int. J. Comput. Intell. Appl., 2003

Evolutionary search and constraint violations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Reducing Random Fluctuations in Mutative Self-adaptation.
Proceedings of the Parallel Problem Solving from Nature, 2002

Continuous selection and self-adaptive evolution strategies.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2000
Stochastic ranking for constrained evolutionary optimization.
IEEE Trans. Evol. Comput., 2000

1999
Genetic production systems for intelligent problem solving.
J. Intell. Manuf., 1999

1998
Evolution of Gene Coordination Networks.
Proceedings of the Simulated Evolution and Learning, 1998

1996
Dynamic Dual Bin Packing Using Fuzzy Objectives.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996


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