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Outputs (276)

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces (2012)
Presentation / Conference Contribution
Al Moubayed, N., Awwad Shiekh Hasan, B., Gan, J., Petrovski, A., & McCall, J. (2012, June). Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. Presented at 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia

A novel presentation for channel selection problem in Brain-Computer Interfaces (BCI) is introduced here. Continuous presentation in a projected two-dimensional space of the Electroencephalograph (EEG) cap is proposed. A multi-objective particle swar... Read More about Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces.

Clustering based leaders' selection in multi-objective evolutionary algorithms (2011)
Presentation / Conference Contribution
Al Moubayed, N., Petrovski, A., & McCall, J. (2011, July). Clustering based leaders' selection in multi-objective evolutionary algorithms. Presented at Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11, Dublin, Irland

Clustering-based Leaders Selection (CLS) is a novel leaders selection technique in multi-objective evolutionary algorithms. Clustering is applied on both the objective and solution spaces whereby each individual is assigned to two clusters; one in th... Read More about Clustering based leaders' selection in multi-objective evolutionary algorithms.

Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition (2011)
Presentation / Conference Contribution
Al Moubayed, N., Petrovski, A., & McCall, J. (2011, April). Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition. Presented at 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM), Paris, France

The paper presents a novel approach to optimising cancer chemotherapy with respect to conflicting treatment objectives aimed at reducing the number of cancerous cells and at limiting the amounts of anti-cancer drugs used. The approach is based on the... Read More about Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition.

Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces (2010)
Presentation / Conference Contribution
Al Moubayed, N., Awwad Shiekh Hasan, B., Gan, J., Petrovski, A., & McCall, J. (2010, September). Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces. Presented at 2010 UK Workshop on Computational Intelligence (UKCI), Colchester, UK

In, we introduced Smart Multi-Objective Particle Swarm Optimisation using Decomposition (SDMOPSO). The method uses the decomposition approach proposed in Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D), whereby a multi-objecti... Read More about Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces.