Thomas Philip Runarsson

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 11

Top Topics

Support Vector Machine

Alpha Beta Pruning

Evolutionary Learning

Global Optimisation

Top Venues

Publications

Helga Ingimundardottir, Thomas Philip Runarsson
Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production. CEC (2024)
Tómas Ingi Hrólfsson, Rúnar Unnsteinsson, Thomas Philip Runarsson
Active model learning for the student nurse allocation problem. SSCI (2022)
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 (2022)
Thomas Philip Runarsson, Asgeir Orn Sigurpalsson
Towards an evolutionary guided exact solution to elective surgery scheduling under uncertainty and ward restrictions. CEC (2019)
Thomas Philip Runarsson
Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks. LOD (2019)
Thomas Philip Runarsson
Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine. LION (2019)
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) (2018)
Thomas Philip Runarsson
Deep Preference Neural Network for Move Prediction in Board Games. CGW@IJCAI (2017)
Kjartan Brjann Petursson, Thomas Philip Runarsson
An Evolutionary Approach to the Discovery of Hybrid Branching Rules for Mixed Integer Solvers. SSCI (2015)
Thomas Philip Runarsson, Simon M. Lucas
On imitating Connect-4 game trajectories using an approximate n-tuple evaluation function. CIG (2015)
Helga Ingimundardottir, Thomas Philip Runarsson
Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling. LION (2015)
Helga Ingimundardottir, Thomas Philip Runarsson
Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling. IJCCI (ECTA) (2014)
Thomas Philip Runarsson
Asynchronous Parallel (1+1)-CMA-ES for Constrained Global Optimisation. IJCCI (ECTA) (2014)
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) (2014)
Helga Ingimundardottir, Thomas Philip Runarsson
Evolutionary Learning of Linear Composite Dispatching Rules for Scheduling. IJCCI (Selected Papers) (2014)
Gudmundur Einarsson, Thomas Philip Runarsson, Gunnar Stefansson
A competitive coevolution scheme inspired by DE. SDE (2014)
Spyridon Samothrakis, Simon M. Lucas, Thomas Philip Runarsson, David Robles
Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. IEEE Trans. Evol. Comput. 17 (2) (2013)
Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling CoRR (2012)
Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling. LION (2012)
Steinn Gudmundsson, Thomas Philip Runarsson, Sven Sigurdsson
Test-retest reliability and feature selection in physiological time series classification. Comput. Methods Programs Biomed. 105 (1) (2012)
Thomas Philip Runarsson, Simon M. Lucas
Imitating play from game trajectories: Temporal difference learning versus preference learning. CIG (2012)
Helga Ingimundardottir, Thomas Philip Runarsson
Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method. LION (2012)
Juan Julián Merelo Guervós, Antonio Miguel Mora, Carlos Cotta, Thomas Philip Runarsson
An experimental study of exhaustive solutions for the Mastermind puzzle CoRR (2012)
Helga Ingimundardottir, Thomas Philip Runarsson
Sampling strategies in ordinal regression for surrogate assisted evolutionary optimization. ISDA (2011)
Thomas Philip Runarsson
Learning Heuristic Policies - A Reinforcement Learning Problem. LION (2011)
Helga Ingimundardottir, Thomas Philip Runarsson
Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling. LION (2011)
Juan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson
Beating exhaustive search at its own game: revisiting evolutionary mastermind. GECCO (2010)
Carlos Cotta, Juan Julián Merelo Guervós, Antonio Mora García, Thomas Philip Runarsson
Entropy-Driven Evolutionary Approaches to the Mastermind Problem. PPSN (2) (2010)
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) (2010)
Juan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson, Carlos Cotta
Assessing efficiency of different evolutionary strategies playing MasterMind. CIG (2010)
Juan Julián Merelo Guervós, Thomas Philip Runarsson
Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms. EvoApplications (1) (2010)
Thomas Philip Runarsson, Juan Julián Merelo Guervós
Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms. NICSO (2010)
Thomas Philip Runarsson, Juan Julián Merelo Guervós
Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms CoRR (2009)
Steinn Gudmundsson, Thomas Philip Runarsson, Sven Sigurdsson
Support vector machines and dynamic time warping for time series. IJCNN (2008)
Thomas Philip Runarsson, Egill Orn Jonsson
Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration. CIG (2007)
Simon M. Lucas, Thomas Philip Runarsson
Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation. CIG (2006)
Thomas Philip Runarsson
Ordinal Regression in Evolutionary Computation. PPSN (2006)
Thomas Philip Runarsson
Approximate Evolution Strategy using Stochastic Ranking. IEEE Congress on Evolutionary Computation (2006)
Steinn Gudmundsson, Thomas Philip Runarsson, Sven Sigurdsson
Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates. CIMCA/IAWTIC (2005)
Thomas Philip Runarsson, Xin Yao
Search biases in constrained evolutionary optimization. IEEE Trans. Syst. Man Cybern. Part C 35 (2) (2005)
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) (2005)
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)
Thomas Philip Runarsson
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models. PPSN (2004)
Thomas Philip Runarsson
An Asynchronous Parallel Evolution Strategy. Int. J. Comput. Intell. Appl. 3 (4) (2003)
Thomas Philip Runarsson, Xin Yao
Evolutionary search and constraint violations. IEEE Congress on Evolutionary Computation (2003)
Thomas Philip Runarsson, Xin Yao
Continuous selection and self-adaptive evolution strategies. IEEE Congress on Evolutionary Computation (2002)
Thomas Philip Runarsson
Reducing Random Fluctuations in Mutative Self-adaptation. PPSN (2002)
Thomas Philip Runarsson, Xin Yao
Stochastic ranking for constrained evolutionary optimization. IEEE Trans. Evol. Comput. 4 (3) (2000)
Thomas Philip Runarsson, Magnus Thor Jonsson
Genetic production systems for intelligent problem solving. J. Intell. Manuf. 10 (2) (1999)
Thomas Philip Runarsson, Magnus Thor Jonsson
Evolution of Gene Coordination Networks. SEAL (1998)
Thomas Philip Runarsson, Magnus Thor Jonsson, Pall Jensson
Dynamic Dual Bin Packing Using Fuzzy Objectives. International Conference on Evolutionary Computation (1996)