Adaptive Genetic Algorithm-based Forest Harvest Adjustment
会议名称：《2008 3rd International Conference on Intelligent System and Knowledge Engineering(ISKE 2008)》
会议日期：2008年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 090704[农学-森林经理学] 0907[农学-林学] 081104[工学-模式识别与智能系统] 08[工学] 09[农学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
摘 要：Forest harvesting adjustment is a decision-making which is large and complex *** this paper,we analysis the shortcomings of the traditional harvest adjustment problems,and establish the model of multitarget harvest *** Intelligent Optimization,adaptive genetic algorithm has the parallel mechanism and the inherent global optimization characteristics which are suitable for multi-objective planning the settlement of the issue,specially in complex occasions where there are many objective functions and optimize variables,or non-linear mathematical expression is not clear,the conventional method is *** order to solve the problem of forest harvesting adjustment,this paper introduces a genetic algorithm to the Forest Farm of Qiujia Liancheng Longyan for adaptive forest harvesting adjustment *** the experimental result not only shows that the method is feasible and effective,but also shows that it can provide satisfactory solution for policy makers.