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Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces

Al Moubayed, Noura and Shiekh Hasan, Bashar Awwad and Gan, John Q and Petrovski, Andrei and McCall, John (2010) Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces. In: 2010 UK Workshop on Computational Intelligence (UKCI), 2010-09-08 - 2010-09-10.

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Abstract

In [1] , 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-objective problem (MOP) is represented as several scalar aggregation problems. The scalar aggregation problems are viewed as particles in a swarm; each particle assigns weights to every optimisation objective. The problem is solved then as a Multi-Objective Particle Swarm Optimisation (MOPSO), in which every particle uses information from a set of defined neighbours. This work customize SDMOSPO to cover binary problems and applies the proposed binary method on the channel selection problem for Brain-Computer Interfaces(BCI).

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2010 UK Workshop on Computational Intelligence, UKCI 2010
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 Dec 2012 21:03
Last Modified: 23 Sep 2022 18:46
URI: http://repository.essex.ac.uk/id/eprint/4142

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