T. Runarsson

发表

Coevolving Game-Playing Agents: Measuring Performance and Intransitivities

Simon M. Lucas, Spyridon Samothrakis, Thomas Philip Runarsson, 2013, IEEE Transactions on Evolutionary Computation.

Evolutionary search and constraint violations

X. Yao, T. Runarsson, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Search biases in constrained evolutionary optimization

Xin Yao, Thomas Philip Runarsson, X. Yao, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Constrained Evolutionary Optimization - the penalty function approach

X. Yao, T. Runarsson, 2002 .

Evolution and design of distributed learning rules

Magnus Thor Jonsson, Thomas Philip Runarsson, T. Runarsson, 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00.

Reliability of quantitative EEG features

S. Sigurdsson, T. Runarsson, Gudrun H. Eiriksdottir, 2007, Clinical Neurophysiology.

Genetic Algorithms for Solving a Class of Constrained Nonlinear Integer Programs

R. Sarker, Charles S. Newton, T. Runarsson, 2001 .

Effect of lookahead search depth in learning position evaluation functions for Othello using 2-greedy exploration

T. Runarsson, 2007 .

Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

Jing J. Liang, Carlos A. Coello Coello, Maurice Clerc, 2006 .

Ensemble Learning Using Individual Neonatal Data for Seizure Detection

T. Runarsson, S. Vanhatalo, P. Nevalainen, 2022, IEEE Journal of Translational Engineering in Health and Medicine.

Discovering dispatching rules from data using imitation learning: A case study for the job-shop problem

T. Runarsson, Helga Ingimundardottir, 2017, Journal of Scheduling.

Improving Curriculum Timetabling Models Using Clustering

Thomas Philip Runarsson, T. Runarsson, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Model selection for support vector machines using an asynchronous parallel evolution strategy

T.P. Runarsson, S. Sigurdsson, S. Sigurdsson, 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

Acoustic emission based fatigue failure criterion for CFRP

Thomas Philip Runarsson, Magnus Thor Jonsson, Runar Unnthorsson, 2008 .

Stochastic ranking for constrained evolutionary optimization

Xin Yao, Thomas Philip Runarsson, X. Yao, 2000, IEEE Trans. Evol. Comput..

Test-retest reliability and feature selection in physiological time series classification

Thomas Philip Runarsson, Steinn Gudmundsson, Sven Sigurdsson, 2012, Comput. Methods Programs Biomed..

Constrained Evolutionary Optimization

Xin Yao, Thomas Philip Runarsson, X. Yao, 2003 .

Asynchronous Parallel Evolutionary Model Selection for Support Vector Machines

Thomas Philip Runarsson, Sven Sigurdsson, S. Sigurdsson, 2004 .

Discovering dispatching rules from data using imitation learning: A case study for the job-shop problem

Thomas Philip Runarsson, Helga Ingimundardottir, T. Runarsson, 2018, J. Sched..

Approximate Evolution Strategy using Stochastic Ranking

Thomas Philip Runarsson, T. Runarsson, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models

Thomas Philip Runarsson, T. Runarsson, 2004, PPSN.

Genetic production systems for intelligent problem solving

Thomas Philip Runarsson, Magnus Thor Jonsson, T. Runarsson, 1999, J. Intell. Manuf..

Reducing Random Fluctuations in Mutative Self-adaptation

Thomas Philip Runarsson, T. Runarsson, 2002, PPSN.

Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings

Edmund K. Burke, L. Darrell Whitley, Hans-Georg Beyer, 2006, Parallel Problem Solving from Nature.

Stochastic Master Surgical Scheduling Under Ward Uncertainty

Thomas Philip Runarsson, Asgeir Orn Sigurpalsson, Rögnvaldur J. Saemundsson, 2019 .

An Asynchronous Parallel Evolution Strategy

Thomas Philip Runarsson, T. Runarsson, 2003, Int. J. Comput. Intell. Appl..

Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling

Thomas Philip Runarsson, Helga Ingimundardottir, T. Runarsson, 2011, LION.

Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings

Edmund K. Burke, L. Darrell Whitley, Hans-Georg Beyer, 2006, PPSN.

Preference Learning for Move Prediction and Evaluation Function Approximation in Othello

Simon M. Lucas, Thomas Philip Runarsson, S. Lucas, 2014, IEEE Transactions on Computational Intelligence and AI in Games.

On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms

Thomas Philip Runarsson, Sven Sigurdsson, S. Sigurdsson, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go

Simon M. Lucas, Thomas Philip Runarsson, S. Lucas, 2005, IEEE Transactions on Evolutionary Computation.

Calibration of Automatic Seizure Detection Algorithms

T. Runarsson, S. Gudmundsson, G. Thorvardsson, 2022, 2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Detecting fraudulent whiplash claims by support vector machines

Thomas Philip Runarsson, Steinn Gudmundsson, Sven Sigurdsson, 2010, Biomed. Signal Process. Control..

Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation

Simon M. Lucas, Thomas Philip Runarsson, S. Lucas, 2006, 2006 IEEE Symposium on Computational Intelligence and Games.

Evolutionary Learning of Linear Composite Dispatching Rules for Scheduling

Thomas Philip Runarsson, Helga Ingimundardottir, T. Runarsson, 2014, IJCCI.

Imitating play from game trajectories: Temporal difference learning versus preference learning

Simon M. Lucas, Thomas Philip Runarsson, S. Lucas, 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).

Support vector machines and dynamic time warping for time series

Thomas Philip Runarsson, Steinn Gudmundsson, Sven Sigurdsson, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A competitive coevolution scheme inspired by DE

Gunnar Stefansson, Thomas Philip Runarsson, Gudmundur Einarsson, 2014, 2014 IEEE Symposium on Differential Evolution (SDE).

Learning Heuristic Policies - A Reinforcement Learning Problem

Thomas Philip Runarsson, T. Runarsson, 2011, LION.

Evolutionary Ensemble Strategies for Heuristic Scheduling

Thomas Philip Runarsson, T. Runarsson, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling

Thomas Philip Runarsson, Helga Ingimundardottir, T. Runarsson, 2014, IJCCI.

Test-retest reliability and feature selection in physiological time series classification

S. Sigurdsson, T. Runarsson, Steinn Gudmundsson, 2012, Comput. Methods Programs Biomed..

Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates

Thomas Philip Runarsson, Steinn Gudmundsson, Sven Sigurdsson, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings

Juan Julián Merelo Guervós, Hans-Georg Beyer, José-Luis Fernández-Villacañas, 2006, PPSN.