Title :
Multi-objective particle swarm optimization for land use structure
Author_Institution :
Coll. of Resource & Environ., Southwest Univ., Chongqing, China
Abstract :
Based on the introduction of particle swarm optimization algorithm, this paper applies it to the land use structure optimization. The objective functions, variables and restraint functions are constructed for land use structure optimization. The corresponding software is also developed. And land use structure optimization for HeChuan District of ChongQing City is taken as the example for the case study. The satisfactory optimization result proves that application of the particle swarm optimization algorithm for land use structure is feasible and effective, which supplies a new idea and method.
Keywords :
land use planning; particle swarm optimisation; public administration; ChongQing City; HeChuan District; land use structure optimization; multiobjective particle swarm optimization; objective function; restraint function; variable function; Optimization;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643853