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Genetic Algorithm In Forest Harvest Adjustment Application As Well As Software Research

Posted on:2008-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChenFull Text:PDF
GTID:2143360215467890Subject:Forest management
Abstract/Summary:PDF Full Text Request
The forest is a complex ecosystem,only then has the reasonable system structure,specially the forest time structure,can finally realize the forest resources multi-benefits to continue forever the use. The harvest adjustment is the establishment reasonable forest structure way,seeks the balanced time structure is the forest harvest adjustment essential target.The policy-making goal along with the policy-making nature,the type,superintendent's philosophy idea,specially the environmental condition which locates along with the decision-making changes,the decision-making often not impossible to have a sole goal,but is a series of multi-objective decision making question. Solves the multi-objective optimization question traditional method is transforms the multi-objectives as simple target processing,often only can obtain a solution,cannot guarantee the Pareto optimality generally,even if the optimization solves very successfully.This article adjusts this kind of large-scale complex system in view of the forest harvest the policy-making question,has analyzed the traditional solution harvest adjustment question shortcoming,establishes the harvest adjustment the multi-objective programming model. As one kind of intelligent optimization algorithm,the genetic algorithm intrinsic parallel mechanism and the global optimization characteristic suits in the multi-objective programming question solution,specially the objective function many, the mathematical expression non-linearity or is not clear about the complex situation which,the optimized variable many,the conventional method is effective with difficulty. This article in the solution forest harvest adjustment question,has for the first time introduced the pareto multi-objective genetic algorithm,has analyzed principle,multi-objective programming characteristic as well as the multi-objective programming modelling step which the multi-objectives optimize;Discussed the Pareto multi-objective genetic algorithm as well as the multi-objective programming solution algorithm in the optimization usability;Discussed the community initialization,the appraisal function,the choice operator, the overlapping operator,the variation operator as well as the migration operator specially and so on the essential step. This article strict deference software engineering method and regards the adjustment ultimate objective is realizes the forest resources to continue forever the use the thought,studied and has developed based on Visual the basic language microcomputer software system,and has given the actual example and the analysis. The system structure divides into 3 levels:User operation boundary layer, model application layer and thing processing level. This system take Longyan Lian Chengqiu the family mountain tree farm as the test object,the obtained non-poor solution for the three dimensional tune spherical surface in spot,the experimental result indicated,this algorithm is feasible,effective,moreover can provide the satisfactory solution for the policy-maker.
Keywords/Search Tags:Forest harvest adjustment, Multi-objective programming, Optimized model, Genetic algorithm, Pareto multi-objective genetic algorithm
PDF Full Text Request
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