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Binary-SDMOPSO and its application in channel selection for brain-computer interfaces

Al Moubayed, N and Awwad Shiekh Hasan, B and Gan, JQ and Petrovski, A and McCall, J (2010) Binary-SDMOPSO and its application in channel selection for brain-computer interfaces. In: UNSPECIFIED, ? - ?.

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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 > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 12 Dec 2012 21:03
Last Modified: 17 Aug 2017 18:07
URI: http://repository.essex.ac.uk/id/eprint/4142

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