Dynamic Dual Bin Packing Using Fuzzy Objectives. - Thomas Philip Runarsson; Magnus Thor Jonsson; Pall Jensson (International Conference on Evolutionary Computation, 1996)

Evolution of Gene Coordination Networks. - Thomas Philip Runarsson; Magnus Thor Jonsson (SEAL, 1998)

Genetic production systems for intelligent problem solving. - Thomas Philip Runarsson; Magnus Thor Jonsson (J. Intell. Manuf., 1999)

Stochastic ranking for constrained evolutionary optimization. - Thomas Philip Runarsson; Xin Yao 001 (IEEE Trans. Evol. Comput., 2000)

Continuous selection and self-adaptive evolution strategies. - Thomas Philip Runarsson; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2002)

Reducing Random Fluctuations in Mutative Self-adaptation. - Thomas Philip Runarsson (PPSN, 2002)

Evolutionary search and constraint violations. - Thomas Philip Runarsson; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2003)

An Asynchronous Parallel Evolution Strategy. - Thomas Philip Runarsson (Int. J. Comput. Intell. Appl., 2003)

Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models. - Thomas Philip Runarsson (PPSN, 2004)

Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates. - Steinn Gudmundsson; Thomas Philip Runarsson; Sven Sigurdsson (CIMCA/IAWTIC, 2005)

On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms. - Thomas Philip Runarsson; Sven Sigurdsson (CIMCA/IAWTIC, 2005)

Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go. - Thomas Philip Runarsson; Simon M. Lucas (IEEE Trans. Evol. Comput., 2005)

Search biases in constrained evolutionary optimization. - Thomas Philip Runarsson; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Approximate Evolution Strategy using Stochastic Ranking. - Thomas Philip Runarsson (IEEE Congress on Evolutionary Computation, 2006)

Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation. - Simon M. Lucas; Thomas Philip Runarsson (CIG, 2006)

Ordinal Regression in Evolutionary Computation. - Thomas Philip Runarsson (PPSN, 2006)

Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration. - Thomas Philip Runarsson; Egill Orn Jonsson (CIG, 2007)

Support vector machines and dynamic time warping for time series. - Steinn Gudmundsson; Thomas Philip Runarsson; Sven Sigurdsson (IJCNN, 2008)

Assessing efficiency of different evolutionary strategies playing MasterMind. - Juan Julián Merelo Guervós; Antonio Miguel Mora; Thomas Philip Runarsson; Carlos Cotta (CIG, 2010)

Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms. - Juan Julián Merelo Guervós; Thomas Philip Runarsson (EvoApplications (1), 2010)

Beating exhaustive search at its own game: revisiting evolutionary mastermind. - Juan Julián Merelo Guervós; Antonio Miguel Mora; Thomas Philip Runarsson (GECCO, 2010)

Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms. - Thomas Philip Runarsson; Juan Julián Merelo Guervós (NICSO, 2010)

Entropy-Driven Evolutionary Approaches to the Mastermind Problem. - Carlos Cotta; Juan Julián Merelo Guervós; Antonio Mora García; Thomas Philip Runarsson (PPSN (2), 2010)

Detecting fraudulent whiplash claims by support vector machines. - Steinn Gudmundsson; Gudny Lilja Oddsdottir; Thomas Philip Runarsson; Sven Sigurdsson; Eythor Kristjansson (Biomed. Signal Process. Control., 2010)

Sampling strategies in ordinal regression for surrogate assisted evolutionary optimization. - Helga Ingimundardottir; Thomas Philip Runarsson (ISDA, 2011)

Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling. - Helga Ingimundardottir; Thomas Philip Runarsson (LION, 2011)

Learning Heuristic Policies - A Reinforcement Learning Problem. - Thomas Philip Runarsson (LION, 2011)

Imitating play from game trajectories: Temporal difference learning versus preference learning. - Thomas Philip Runarsson; Simon M. Lucas (CIG, 2012)

Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method. - Helga Ingimundardottir; Thomas Philip Runarsson (LION, 2012)

Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling. - Thomas Philip Runarsson; Marc Schoenauer; Michèle Sebag (LION, 2012)

Test-retest reliability and feature selection in physiological time series classification. - Steinn Gudmundsson; Thomas Philip Runarsson; Sven Sigurdsson (Comput. Methods Programs Biomed., 2012)

An experimental study of exhaustive solutions for the Mastermind puzzle - Juan Julián Merelo Guervós; Antonio Miguel Mora; Carlos Cotta; Thomas Philip Runarsson (CoRR, 2012)

Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. - Spyridon Samothrakis; Simon M. Lucas; Thomas Philip Runarsson; David Robles (IEEE Trans. Evol. Comput., 2013)

Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling. - Helga Ingimundardottir; Thomas Philip Runarsson (IJCCI (ECTA), 2014)

Evolutionary Learning of Linear Composite Dispatching Rules for Scheduling. - Helga Ingimundardottir; Thomas Philip Runarsson (IJCCI (Selected Papers), 2014)

Asynchronous Parallel (1+1)-CMA-ES for Constrained Global Optimisation. - Thomas Philip Runarsson (IJCCI (ECTA), 2014)

A competitive coevolution scheme inspired by DE. - Gudmundur Einarsson; Thomas Philip Runarsson; Gunnar Stefansson (SDE, 2014)

Preference Learning for Move Prediction and Evaluation Function Approximation in Othello. - Thomas Philip Runarsson; Simon M. Lucas (IEEE Trans. Comput. Intell. AI Games, 2014)

On imitating Connect-4 game trajectories using an approximate n-tuple evaluation function. - Thomas Philip Runarsson; Simon M. Lucas (CIG, 2015)

Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling. - Helga Ingimundardottir; Thomas Philip Runarsson (LION, 2015)

An Evolutionary Approach to the Discovery of Hybrid Branching Rules for Mixed Integer Solvers. - Kjartan Brjann Petursson; Thomas Philip Runarsson (SSCI, 2015)

Deep Preference Neural Network for Move Prediction in Board Games. - Thomas Philip Runarsson (CGW@IJCAI, 2017)

Discovering dispatching rules from data using imitation learning: A case study for the job-shop problem. - Helga Ingimundardottir; Thomas Philip Runarsson (J. Sched., 2018)

Towards an evolutionary guided exact solution to elective surgery scheduling under uncertainty and ward restrictions. - Thomas Philip Runarsson; Asgeir Orn Sigurpalsson (CEC, 2019)

Learning Probabilistic Constraints for Surgery Scheduling Using a Support Vector Machine. - Thomas Philip Runarsson (LION, 2019)

Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks. - Thomas Philip Runarsson (LOD, 2019)

Active model learning for the student nurse allocation problem. - Tómas Ingi Hrólfsson; Rúnar Unnsteinsson; Thomas Philip Runarsson (SSCI, 2022)

Ensemble learning using individual neonatal data for seizure detection. - Ana Borovac; Steinn Gudmundsson; Gardar Thorvardsson; Saeed M. Moghadam; Päivi Nevalainen; Nathan J. Stevenson; Sampsa Vanhatalo; Thomas Philip Runarsson (CoRR, 2022)

Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production. - Helga Ingimundardottir; Thomas Philip Runarsson (CEC, 2024)

Interactive Evolutionary Reoptimization for Groundfish Survey Planning. - Thomas Philip Runarsson (EMO (1), 2025)

A novel transformation to improve the robustness of value-based surrogate models. - Ali Ahrari; Thomas Philip Runarsson; Dries Verstraete (Swarm Evol. Comput., 2025)