15 October 2009 A improved particle swarm optimization based on cloud model with implications for urban land use planning
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Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74923T (2009) https://doi.org/10.1117/12.838390
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China
Abstract
In order to solve the dependence on the problem of patch technology in the constrained optimization of Particle Swarm Optimization (PSO), conversion will be achieved on the qualitative and quantitative of feasibility rules of the PSO algorithm by the uncertain illation and figure characteristics of cloud .The quantification of binding correction factor will be done in order to realize the common patch methods of different issues. The improved algorithm will be applied to the urban land use planning of Nanning and Yulin city in Guangxi. Quantifying the land conversion factor and combining with spatial analyses technology, analyzing and contrasting the land conversion area of the two cities, this improved algorithm will be proved to settle different problems.
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Yanfei Wei, Yanfei Wei, Yaolin Liu, Yaolin Liu, Dun Wang, Dun Wang, } "A improved particle swarm optimization based on cloud model with implications for urban land use planning", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74923T (15 October 2009); doi: 10.1117/12.838390; https://doi.org/10.1117/12.838390
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