An Adaptive Cultural Algorithm with Improved Quantum-behaved Particle Swarm Optimization for Sonar Image Detection

This paper proposes an adaptive cultural algorithm with improved quantum-behaved particle swarm optimization (ACA-IQPSO) to detect the underwater sonar image. In the population space, to improve searching ability of particles, iterative times and the fitness value of particles are regarded as factor...

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Detalles Bibliográficos
Autores principales: Wang, Xingmei, Hao, Wenqian, Li, Qiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735147/
https://www.ncbi.nlm.nih.gov/pubmed/29255162
http://dx.doi.org/10.1038/s41598-017-17945-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735147/
https://www.ncbi.nlm.nih.gov/pubmed/29255162
http://dx.doi.org/10.1038/s41598-017-17945-3

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