A Study On The Application Of Cas Theory In Territorial Forest Harvest Regulation

Science of complexity is a kind of subject that is used to study complex system and complicacy, it is praised by some scientists as "the science of the 21st century". At present, scientists from all over the world pay wide attention on the research that about the complexity. Since the bringing forward of complexity to present, has made a lot of research results, and the most superiorly representativeness theory of system is the CAS (Complexity Adaptive System) theory, it has been widely used in ecological, social, economic, management, military and other areas of research about complex problem.This paper firstly uses the CAS theory to analyze the complex adaptability of forestry ecological system from the aggregation, diversity, non-linearity, flows, tagging, internal model and building block, discoursing upon the forestry ecological system is a class of complexity adaptive system, and then introduce the relevance of the results of CAS theory, select genetic algorithms that closely related to CAS theory as the object studied.As an intelligent optimization algorithm, the genetic algorithm's parallel mechanism and the intrinsic characteristics of global optimization is suitable for multi-objective programming problems. Therefore this paper aim at the Forest Harvesting Regulation such kind of large and complex system of decision-making problem, the Pareto multi-objective genetic algorithm is introduced to solve the multi-objective programming model of Forest Harvesting Regulation, the key steps of group initialization, evaluation function, selection operator, crossover operator, mutation operator and the transfer operator are discussed.This article strictly follows the idea that regards the achievement of sustainable use of forest resources as the ultimate goal, taking Jiangxi Jingdezhen Maple Forest Farm for a practical example, taking the four dominant tree species of general timber stands (Pinus massoniana Lamb, Cunninghamia Lanceolata, Pinus elliottii and large tall broad- leave tree) as the controlled member, the utilization of Euclidean distance and balance ratio two quantitative indices has carried on the evaluation to the effect of Forest Harvesting Regulation, the evaluation result:the age-grade structure's balance ratios of four dominant tree species have the big enhancement, Euclidean distance is away from reduced above 90%, basically forest resources' age-grade structures have been adjusted to the forest condition on the whole at the end of the adjustment period, the harvest adjustment effect is obvious, has obtained the anticipated goal, was propitious to sustainable operation of forest. Adjustment results show that introducing the genetic algorithm into Forest Harvesting Regulation is feasible and effective, and can provide satisfactory solution for decision-makers, this is an important aspect of the use of CAS theory to solve the problem of forest-related, CAS theory has significance for us in understanding of the complexity of forests and solving the practical problems that encountered in carring out of forest management activities.