Chaotic Genetic Algorithm-Based Forest Harvest Adjustment

Forest harvesting adjustment is a decision-making, large and complex system. In this paper, we analysis the shortcomings of the traditional harvest adjustment problems, and establish the model of multi-target harvest adjustment. As intelligent optimization,chaotic 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. In order to solve the problem of forest harvesting adjustment, this paper introduces a genetic algorithm to the Forest Farm of Qiujia Liancheng Longyan for forest harvesting adjustment firstly. And the experimental result shows that the method is feasible and effective, and it can provide satisfactory solution for policy makers.