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Thomas Philip Runarsson
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2020 – today
- 2025
- [j11]Ali Ahrari, Thomas Philip Runarsson, Dries Verstraete:
A novel transformation to improve the robustness of value-based surrogate models. Swarm Evol. Comput. 92: 101794 (2025) - 2024
- [c37]Helga Ingimundardottir, Thomas Philip Runarsson:
Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production. CEC 2024: 1-8 - 2022
- [c36]Tómas Ingi Hrólfsson, Rúnar Unnsteinsson, Thomas Philip Runarsson:
Active model learning for the student nurse allocation problem. SSCI 2022: 1210-1217 - [i4]Ana Borovac, Steinn Gudmundsson, Gardar Thorvardsson, Saeed M. Moghadam, Päivi Nevalainen, Nathan J. Stevenson, Sampsa Vanhatalo, Thomas Philip Runarsson:
Ensemble learning using individual neonatal data for seizure detection. CoRR abs/2204.07043 (2022)
2010 – 2019
- 2019
- [c35]Thomas Philip Runarsson, Asgeir Orn Sigurpalsson:
Towards an evolutionary guided exact solution to elective surgery scheduling under uncertainty and ward restrictions. CEC 2019: 419-425 - [c34]Thomas Philip Runarsson:
Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine. LION 2019: 121-134 - [c33]Thomas Philip Runarsson:
Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks. LOD 2019: 643-654 - 2018
- [j10]Helga Ingimundardottir, Thomas Philip Runarsson:
Discovering dispatching rules from data using imitation learning: A case study for the job-shop problem. J. Sched. 21(4): 413-428 (2018) - 2017
- [c32]Thomas Philip Runarsson:
Deep Preference Neural Network for Move Prediction in Board Games. CGW@IJCAI 2017: 34-45 - 2015
- [c31]Thomas Philip Runarsson, Simon M. Lucas:
On imitating Connect-4 game trajectories using an approximate n-tuple evaluation function. CIG 2015: 208-213 - [c30]Helga Ingimundardottir, Thomas Philip Runarsson:
Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling. LION 2015: 236-248 - [c29]Kjartan Brjann Petursson, Thomas Philip Runarsson:
An Evolutionary Approach to the Discovery of Hybrid Branching Rules for Mixed Integer Solvers. SSCI 2015: 1436-1443 - 2014
- [j9]Thomas Philip Runarsson, Simon M. Lucas:
Preference Learning for Move Prediction and Evaluation Function Approximation in Othello. IEEE Trans. Comput. Intell. AI Games 6(3): 300-313 (2014) - [c28]Helga Ingimundardottir, Thomas Philip Runarsson:
Evolutionary Learning of Linear Composite Dispatching Rules for Scheduling. IJCCI (Selected Papers) 2014: 49-62 - [c27]Helga Ingimundardottir, Thomas Philip Runarsson:
Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling. IJCCI (ECTA) 2014: 59-67 - [c26]Thomas Philip Runarsson:
Asynchronous Parallel (1+1)-CMA-ES for Constrained Global Optimisation. IJCCI (ECTA) 2014: 266-272 - [c25]Gudmundur Einarsson, Thomas Philip Runarsson, Gunnar Stefansson:
A competitive coevolution scheme inspired by DE. SDE 2014: 9-16 - 2013
- [j8]Spyridon Samothrakis, Simon M. Lucas, Thomas Philip Runarsson, David Robles:
Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. IEEE Trans. Evol. Comput. 17(2): 213-226 (2013) - 2012
- [j7]Steinn Gudmundsson, Thomas Philip Runarsson, Sven Sigurdsson:
Test-retest reliability and feature selection in physiological time series classification. Comput. Methods Programs Biomed. 105(1): 50-60 (2012) - [c24]Thomas Philip Runarsson, Simon M. Lucas:
Imitating play from game trajectories: Temporal difference learning versus preference learning. CIG 2012: 79-82 - [c23]Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag:
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling. LION 2012: 160-174 - [c22]Helga Ingimundardottir, Thomas Philip Runarsson:
Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method. LION 2012: 408-412 - [i3]Juan Julián Merelo Guervós, Antonio Miguel Mora, Carlos Cotta, Thomas Philip Runarsson:
An experimental study of exhaustive solutions for the Mastermind puzzle. CoRR abs/1207.1315 (2012) - [i2]Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag:
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling. CoRR abs/1210.0374 (2012) - 2011
- [c21]Helga Ingimundardottir, Thomas Philip Runarsson:
Sampling strategies in ordinal regression for surrogate assisted evolutionary optimization. ISDA 2011: 1158-1163 - [c20]Helga Ingimundardottir, Thomas Philip Runarsson:
Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling. LION 2011: 263-277 - [c19]Thomas Philip Runarsson:
Learning Heuristic Policies - A Reinforcement Learning Problem. LION 2011: 423-432 - 2010
- [j6]Steinn Gudmundsson, Gudny Lilja Oddsdottir, Thomas Philip Runarsson, Sven Sigurdsson, Eythor Kristjansson:
Detecting fraudulent whiplash claims by support vector machines. Biomed. Signal Process. Control. 5(4): 311-317 (2010) - [c18]Juan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson, Carlos Cotta:
Assessing efficiency of different evolutionary strategies playing MasterMind. CIG 2010: 38-45 - [c17]Juan Julián Merelo Guervós, Thomas Philip Runarsson:
Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms. EvoApplications (1) 2010: 121-130 - [c16]Juan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson:
Beating exhaustive search at its own game: revisiting evolutionary mastermind. GECCO 2010: 291-292 - [c15]Thomas Philip Runarsson, Juan Julián Merelo Guervós:
Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms. NICSO 2010: 255-267 - [c14]Carlos Cotta, Juan Julián Merelo Guervós, Antonio Mora García, Thomas Philip Runarsson:
Entropy-Driven Evolutionary Approaches to the Mastermind Problem. PPSN (2) 2010: 421-431
2000 – 2009
- 2009
- [i1]Thomas Philip Runarsson, Juan Julián Merelo Guervós:
Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms. CoRR abs/0912.2415 (2009) - 2008
- [c13]Steinn Gudmundsson, Thomas Philip Runarsson, Sven Sigurdsson:
Support vector machines and dynamic time warping for time series. IJCNN 2008: 2772-2776 - 2007
- [c12]Thomas Philip Runarsson, Egill Orn Jonsson:
Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration. CIG 2007: 210-215 - 2006
- [c11]Thomas Philip Runarsson:
Approximate Evolution Strategy using Stochastic Ranking. IEEE Congress on Evolutionary Computation 2006: 745-752 - [c10]Simon M. Lucas, Thomas Philip Runarsson:
Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation. CIG 2006: 52-59 - [c9]Thomas Philip Runarsson:
Ordinal Regression in Evolutionary Computation. PPSN 2006: 1048-1057 - [e1]Thomas Philip Runarsson, Hans-Georg Beyer, Edmund K. Burke, Juan Julián Merelo Guervós, L. Darrell Whitley, Xin Yao:
Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Procedings. Lecture Notes in Computer Science 4193, Springer 2006, ISBN 3-540-38990-3 [contents] - 2005
- [j5]Thomas Philip Runarsson, Simon M. Lucas:
Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go. IEEE Trans. Evol. Comput. 9(6): 628-640 (2005) - [j4]Thomas Philip Runarsson, Xin Yao:
Search biases in constrained evolutionary optimization. IEEE Trans. Syst. Man Cybern. Part C 35(2): 233-243 (2005) - [c8]Steinn Gudmundsson, Thomas Philip Runarsson, Sven Sigurdsson:
Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates. CIMCA/IAWTIC 2005: 366-372 - [c7]Thomas Philip Runarsson, Sven Sigurdsson:
On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms. CIMCA/IAWTIC 2005: 673-677 - 2004
- [c6]Thomas Philip Runarsson:
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models. PPSN 2004: 401-410 - 2003
- [j3]Thomas Philip Runarsson:
An Asynchronous Parallel Evolution Strategy. Int. J. Comput. Intell. Appl. 3(4): 381-394 (2003) - [c5]Thomas Philip Runarsson, Xin Yao:
Evolutionary search and constraint violations. IEEE Congress on Evolutionary Computation 2003: 1414-1419 - 2002
- [c4]Thomas Philip Runarsson, Xin Yao:
Continuous selection and self-adaptive evolution strategies. IEEE Congress on Evolutionary Computation 2002: 279-284 - [c3]Thomas Philip Runarsson:
Reducing Random Fluctuations in Mutative Self-adaptation. PPSN 2002: 194-203 - 2000
- [j2]Thomas Philip Runarsson, Xin Yao:
Stochastic ranking for constrained evolutionary optimization. IEEE Trans. Evol. Comput. 4(3): 284-294 (2000)
1990 – 1999
- 1999
- [j1]Thomas Philip Runarsson, Magnus Thor Jonsson:
Genetic production systems for intelligent problem solving. J. Intell. Manuf. 10(2): 181-186 (1999) - 1998
- [c2]Thomas Philip Runarsson, Magnus Thor Jonsson:
Evolution of Gene Coordination Networks. SEAL 1998: 430-437 - 1996
- [c1]Thomas Philip Runarsson, Magnus Thor Jonsson, Pall Jensson:
Dynamic Dual Bin Packing Using Fuzzy Objectives. International Conference on Evolutionary Computation 1996: 219-222
Coauthor Index
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