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基于离散粒子群优化算法的造林规划设计
引用本文:胡欣欣,王李进.基于离散粒子群优化算法的造林规划设计[J].莆田高等专科学校学报,2011(2):33-37.
作者姓名:胡欣欣  王李进
作者单位:福建农林大学计算机与信息学院,福建福州350002
基金项目:福建省自然科学基金资助项目(2009J05043); 福建农林大学青年教师基金资助项目(2010019)
摘    要:指出造林规划设计问题实质是一个离散约束优化问题。应用离散粒子群优化算法求解目标函数,以保证解的合理性法和惩罚函数法相结合处理约束条件。分析实例表明,离散粒子群优化算法可用来优化造林规划设计方案,与模拟退火算法比较,效果更好。此研究结果可为科学造林和最优化经营管理提供新思路,丰富粒子群应用领域。

关 键 词:粒子群算法  造林规划  造林设计  约束优化

Afforestation Planning and Design Based on Discrete Particle Swarm Optimization Algorithm
HU Xin-xin,WANG Li-jin.Afforestation Planning and Design Based on Discrete Particle Swarm Optimization Algorithm[J].Journal of Putian College,2011(2):33-37.
Authors:HU Xin-xin  WANG Li-jin
Institution:(College of Computer and Information Science,Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China)
Abstract:Afforestation planning design problems is essential a discrete constrained optimization problem.This paper applied discrete particle swarm optimization algorithm to solving target function,combining the method of assuring the rationality of solution and the method of penalty function to deal with the constraints.The result of example shows that discrete particle swarm optimization algorithm is feasible to be used to optimize the design scheme of afforestation,Compared with the simulated annealing algorithm,the effect of particle swarm optimization algorithm is better.The results of research provides a new idea for scientific afforestation and the optimal management,and enrichs the application domain of particle swarm optimization algorithm.
Keywords:particle swarm algorithm  afforestation planning  afforestation design  constrained optimization
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