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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.