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Output details

11 - Computer Science and Informatics

Robert Gordon University

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Article title

D2MOPSO: MOPSO based on Decomposition and Dominance with Archiving using Crowding Distance in Objective and Solution Spaces

Type
D - Journal article
Title of journal
Evolutionary Computation
Article number
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Volume number
n/a
Issue number
-
First page of article
n/a
ISSN of journal
1530-9304
Year of publication
2013
URL
-
Number of additional authors
2
Additional information

The Computational Intelligence (CI) journal published by MIT Press is a leading world journal in the field. The paper presents the detailed outcomes of original research on improving effectiveness of the multi-objective Particle Swarm Optimisation (PSO) algorithm. The significance of this work is in demonstrating that the proposed algorithm better approximates the true Pareto front for the accepted benchmarks of challenging problem. Rigorous statistical analysis of the experimental results reinforces the expedience of using multi-objective PSO algorithms. The publication used the results of ongoing collaborations with other researchers in Evolutionary Computing dealing with the problem of Brain-Computer Interfacing (DOI: 10.1109/UKCI.2010.5625570).

Interdisciplinary
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Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-