S. S. Nielsen

Evolutionary Algorithms for the Inverse Protein Folding Problem

Pascal Bouvry, Grégoire Danoy, Reinhard Schneider, 2018, Handbook of Heuristics.

Evolutionary Algorithms for the Inverse Protein Folding Problem

E. Talbi, R. Krause, Reinhard Schneider, 2018, Handbook of Heuristics.

Tackling the IFP Problem with the Preference-Based Genetic Algorithm

Pascal Bouvry, Grégoire Danoy, Sune S. Nielsen, 2016, GECCO.

Preference-Based Genetic Algorithm for Solving the Bio-Inspired NK Landscape Benchmark

Pascal Bouvry, Grégoire Danoy, Christof Ferreira Torres, 2015 .

A Novel Multi-objectivisation Approach for Optimising the Protein Inverse Folding Problem

Pascal Bouvry, Grégoire Danoy, Reinhard Schneider, 2015, EvoApplications.

Cooperative Selection: Improving Tournament Selection via Altruism

Pascal Bouvry, Grégoire Danoy, Juan Luis Jiménez Laredo, 2014, EvoCOP.

Novel efficient asynchronous cooperative co-evolutionary multi-objective algorithms

Pascal Bouvry, Grégoire Danoy, Bernabé Dorronsoro, 2012, 2012 IEEE Congress on Evolutionary Computation.

NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks

Pascal Bouvry, Grégoire Danoy, Sune S. Nielsen, 2015, GECCO.

Human-like layout algorithms for signalling hypergraphs: outlining requirements

Charles Auffray, Fintan McGee, Martin Siebenhaller, 2018, Briefings Bioinform..

Machine Learning to Support the Presentation of Complex Pathway Graphs

Marek Ostaszewski, David Hoksza, Fintan McGee, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.