Adaptive Genetic Algorithm-based Forest Harvest Adjustment
Forest harvesting adjustment is a decision-makingwhich is large and complex system.In this paper,weanalysis the shortcomings of the traditional harvestadjustment problems,and establish the model of multi-target harvest adjustment.As Intelligent Optimization,adaptive genetic algorithm has the parallel mechanismand the inherent global optimization characteristicswhich are suitable for multi-objective planning thesettlement of the issue,specially in complex occasionswhere there are many objective functions and optimizevariables,or non-linear mathematical expression isnot clear,the conventional method is ineffective.Inorder to solve the problem of forest harvestingadjustment,this paper introduces a genetic algorithmto the Forest Farm of Qiujia Liancheng Longyan foradaptive forest harvesting adjustment firstly.And theexperimental result not only shows that the method isfeasible and effective,but also shows that it canprovide satisfactory solution for policy makers.
MeiFang Wang JinMing Li
Meifang Wang,College of Forestry Science,Graduate Forestry computer application,Fujian Agri.& Fore.U JinMing Li Associate Professor,Direction:Data Mining,Artificial Intelligence,College of Computer and
国际会议
厦门
英文
541-544
2008-11-17（万方平台首次上网日期，不代表论文的发表时间）