A Research In Using Genetic Algorithms To Optimize The Industrial Structure Of Sustainable Agriculture

This text distribute the thought rationally after putting forward the sustainable agricultural structure directing against the question that exists in the agricultural development of our country at present, according to the request of sustainable agricultural structure's criterion , it has set up sustainable agricultural structure and the system of models optimized, moreover carried on stability analysis , real example analysis, multi-goal genetic algorithm and quantitative appraisal of sustainable agriculture study to this model. Particularly, the research work of this text is launched from several following respects:1. this text has summarized and analysed the present agricultural state of development of our country and goal, it has put forward the concept that the sustainable agricultural structure optimizes, has expounded the meaning in which the thesis studies, Optimize the method and multi-goals algorithms after summarizing various kinds of industrial structure, have narrated the research dynamic status of genetic algorithm and sustainable appraisal method ,it has described the thinking of whole writing of the thesis in detail.2. It analysis the criterion of rational distribution of network about sustainable agricultural structure ,sets up sustainable nonlinearity, multi-goal optimized models of agricultural structure.in order to realize three respects optimum design object function of economic benefits , ecology and social benefit, the goal function should reflect actual state of index as best as possible,so it makes up non-linear method that fit go on research to the net profit of the animal husbandry to adopt, utilize Jenny mathematics model to make and predict to the organic content of soil , adopt demanding shortage to expect to investigate the social demand state; Has set up natural resources , cultivated area , ecology restraint conditions including social demand, and the agricultural structure optimized model's system facing sustainable development; Has proved the stability of the model system from mathematics, guarantee the system of models which has theoretical foundation of practical application; Choose Heilongjiang to analyse its natural resources condition and agricultural current situation of the development as the actual research object, has confirmed the regular parameter involved in models, adopt many kinds of models to predict such parameters as regional population , the per unit area yield of the crops , per capita consumption demand ,etc. has set up the optimized models of the sustainable agricultural structure of Heilongjiang Province taking 2010 as report period.3. Researched the basic principle and technology of realizing of the genetic algorithms, analyse in depth the mathematics foundation of genetic algorithms, has pointed out the deficiency and defect of Simple Genetic Algorithms, namely can't guarantee convergence property , prove thatkeeps genetic algorithms to possess overall convergence property improved optimumly, ask the ones that apply it to the agricultural structure of Heilongjiang Province, improved the design of the operator, adopt simpleXover, arithXove^ heuristicXover, boundaryMutatiom unifMutation, nonUnifMutation, multiNonUnifMutation simultaneously, Increase the variety that the colony chooses, utilize the adaptability weight of multi-goals to fine to design the adaptive degree of function, it gets pareto arrays on the basis of genetic algorithms multi-goal optimized to optimize the structure of industry of sustainable agriculture.4. On the basis of models and solving, it need to appraise to the result that is received, guarantee it to reach the goal booked , therefore structure the comprehensive evaluation index system of agricultural sustainable development, while using grey systematic theory method for sustainable agriculture and appraising, has confirmed coordinated degree within every subsystem of agriculture, and design synthesis appraisal model to ability of agricultural sustainable development in recent years and report period. What two respects are appraised indicated finally, no matter the result (benefit value ) about the agricultural structure of Heilongjiang Province after the structure is optimized or agriculture's sustainable respect has been obtained and obviously improved .In building and setting up models and research approach, this stationery has the following characteristic:1. According to the agricultural structure's characteristic, it overall survey each index which influence agricultural industry, carry on overall quantitative analysis and study to every goal, establish the system of nonlinearity multi-goal optimizing models, the state of development of several respects and positive connection each other that the model can reflect the agricultural structure economy , ecology , the society well , this kind of model system is Very rarely in the research that the agricultural structure optimizes.2. The modern optimization algorithm------genetic algorithms is applied this complicatednon-linear model for solving of algorithm while optimizing to the agricultural structure, especially for seeking multi-goal optimize pareto of issue ,it has a certain advantages to solve, this text carries on proper improvement in fully considering the convergence property of genetic algorithm and population's diversified foundation, have important using value in solving the model , relevant multi-goals , complicated model system built in the article.The model system , theory built of this thesis and the concrete research approach has certain practical application and value to popularize in optimizing the structure of agricultural industry, the use and improvement of genetic algorithm of multi-goals offer the new thinking for the fact that the model is asked and solved , it can be applied to relevant or similar fields.