Thomas Philip Runarsson

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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, PPSN.

Stochastic ranking for constrained evolutionary optimization

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

Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling

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

Towards an evolutionary guided exact solution to elective surgery scheduling under uncertainty and ward restrictions

Thomas Philip Runarsson, Asgeir Orn Sigurpalsson, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

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.

Approximate Evolution Strategy using Stochastic Ranking

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

Beating exhaustive search at its own game: revisiting evolutionary mastermind

Juan Julián Merelo Guervós, Antonio Mora García, Thomas Philip Runarsson, 2010, GECCO '10.

An experimental study of exhaustive solutions for the Mastermind puzzle pdf

Juan Julián Merelo Guervós, Carlos Cotta, Antonio Mora García, 2012, ArXiv.

Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine

Thomas Philip Runarsson, 2019, LION.

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).

Asynchronous Parallel Evolutionary Model Selection for Support Vector Machines

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

Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method

Thomas Philip Runarsson, Helga Ingimundardottir, 2012, LION.

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.

Asynchronous Parallel (1+1)-CMA-ES for Constrained Global Optimisation

Thomas Philip Runarsson, 2014, IJCCI.

Improving Curriculum Timetabling Models Using Clustering

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

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).

Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms

Juan Julián Merelo Guervós, Thomas Philip Runarsson, 2010, NICSO.

Assessing efficiency of different evolutionary strategies playing MasterMind

Juan Julián Merelo Guervós, Carlos Cotta, Antonio Mora García, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling

Thomas Philip Runarsson, Helga Ingimundardottir, 2015, LION.

Continuous selection and self-adaptive evolution strategies

Xin Yao, Thomas Philip Runarsson, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling pdf

Michèle Sebag, Marc Schoenauer, Thomas Philip Runarsson, 2012, LION.

Coevolving Game-Playing Agents: Measuring Performance and Intransitivities

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

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).

Sampling strategies in ordinal regression for surrogate assisted evolutionary optimization

Thomas Philip Runarsson, Helga Ingimundardottir, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Evolution of Gene Coordination Networks

Thomas Philip Runarsson, Magnus Thor Jonsson, 1998, SEAL.

An Asynchronous Parallel Evolution Strategy

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

Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration

Thomas Philip Runarsson, Egill Orn Jonsson, 2007, 2007 IEEE Symposium on Computational Intelligence and Games.

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..

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.

Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms

Juan Julián Merelo Guervós, Thomas Philip Runarsson, 2010, EvoApplications.

Detecting fraudulent whiplash claims by support vector machines

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

Genetic production systems for intelligent problem solving

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

Dynamic dual bin packing using fuzzy objectives

Thomas Philip Runarsson, Pall Jensson, Magnus Thor Jonsson, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

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).

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

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

On imitating Connect-4 game trajectories using an approximate n-tuple evaluation function

Simon M. Lucas, Thomas Philip Runarsson, 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

Learning Heuristic Policies - A Reinforcement Learning Problem

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

Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling

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

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).

Ordinal Regression in Evolutionary Computation

Thomas Philip Runarsson, 2006, PPSN.

A competitive coevolution scheme inspired by DE

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

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.

Entropy-Driven Evolutionary Approaches to the Mastermind Problem

Juan Julián Merelo Guervós, Carlos Cotta, Antonio Mora García, 2010, PPSN.

Evolutionary Learning of Linear Composite Dispatching Rules for Scheduling

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

Deep Preference Neural Network for Move Prediction in Board Games

Thomas Philip Runarsson, 2017, CGW@IJCAI.

An Evolutionary Approach to the Discovery of Hybrid Branching Rules for Mixed Integer Solvers

Thomas Philip Runarsson, Kjartan Brjann Petursson, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Evolutionary Ensemble Strategies for Heuristic Scheduling

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

Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models

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

Acoustic emission based fatigue failure criterion for CFRP

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