Based on fully understanding the significance of farmer training,this paper builds the evaluation index system for farmer training satisfaction level. Then this paper employs the field survey data about Yichang and Ji...Based on fully understanding the significance of farmer training,this paper builds the evaluation index system for farmer training satisfaction level. Then this paper employs the field survey data about Yichang and Jingzhou in Hubei Province to evaluate the farmer training satisfaction level in Hubei Province. Results show that farmers have high level of satisfaction on agricultural training in Hubei Province,and the average satisfaction level reaches 0. 8556; there are regional differences in the farmer training satisfaction level in Hubei Province; the index weight is not entirely directly proportional to the training satisfaction level in the evaluation index system. Finally,from training courses,training teachers,training organization and follow-up services,this paper brings forward the recommendations for improving farmer training satisfaction level in Hubei Province,improve farmer training system,further improve the effectiveness of training and promote farmers' quality.展开更多
The minimization of the profit function with respect to the decision variables is very important for the decision makers in the oil field industry.In this paper,a novel approach of the improved tabu search algorithm h...The minimization of the profit function with respect to the decision variables is very important for the decision makers in the oil field industry.In this paper,a novel approach of the improved tabu search algorithm has been employed to solve a large scale problem in the crude oil refinery industry.This problem involves 44 variables,36 constraints,and four decision variables which represent four types of crude oil types.The decision variables have been modeled in the form of fuzzy linear programming problem.The vagueness factor in the decision variables is captured by the nonlinear modified S-curve membership function.A recursive improved tabu search has been used to solve this fuzzy optimization problem.Tremendously improved results are obtained for the optimal profit function and optimal solution for four crude oil.The accuracy of constraints satisfaction and the quality of the solutions are achieved successfully.展开更多
基金Supported by Graduate Education Innovation Program of Zhongnan University of Economics and Law(2016Y1054)
文摘Based on fully understanding the significance of farmer training,this paper builds the evaluation index system for farmer training satisfaction level. Then this paper employs the field survey data about Yichang and Jingzhou in Hubei Province to evaluate the farmer training satisfaction level in Hubei Province. Results show that farmers have high level of satisfaction on agricultural training in Hubei Province,and the average satisfaction level reaches 0. 8556; there are regional differences in the farmer training satisfaction level in Hubei Province; the index weight is not entirely directly proportional to the training satisfaction level in the evaluation index system. Finally,from training courses,training teachers,training organization and follow-up services,this paper brings forward the recommendations for improving farmer training satisfaction level in Hubei Province,improve farmer training system,further improve the effectiveness of training and promote farmers' quality.
文摘The minimization of the profit function with respect to the decision variables is very important for the decision makers in the oil field industry.In this paper,a novel approach of the improved tabu search algorithm has been employed to solve a large scale problem in the crude oil refinery industry.This problem involves 44 variables,36 constraints,and four decision variables which represent four types of crude oil types.The decision variables have been modeled in the form of fuzzy linear programming problem.The vagueness factor in the decision variables is captured by the nonlinear modified S-curve membership function.A recursive improved tabu search has been used to solve this fuzzy optimization problem.Tremendously improved results are obtained for the optimal profit function and optimal solution for four crude oil.The accuracy of constraints satisfaction and the quality of the solutions are achieved successfully.
