Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55349
Title: Multi-objective PSO based on grid strategy
Authors: Liu, Y
Niu, B
Chan, FTS 
Liu, R
Sui, C
Keywords: Adaptive
Diversity maintenance
Grid strategy
Multi-objective optimization
Particle swarm optimizer
Issue Date: 2015
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In multi-objective optimization problem (MOP), keeping solution diversity is key case for solution quality. To improve the MOP quality, the diversity maintenance threshold value (λα) is proposed to keep solutions diversity based on adaptive grid strategy. These strategies can adaptive maintain the non-inferior diversity to improve swarm individual fly to the global optimal. Four test problems are selected to test the proposed strategy compared with other classical methods, and three performance metrics are chosen to explore the algorithm effectiveness.
Description: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015
URI: http://hdl.handle.net/10397/55349
ISBN: 9783319221854
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-22186-1_71
Appears in Collections:Conference Paper

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