论文标题:论我国执行救济制度的改革与完善
On Theory, Method and Innovation of Subset Selection and Optimization Problem
论文作者 杨林
论文导师 王娣,论文学位 硕士,论文专业 法律
论文单位 中国政法大学,点击次数 102,论文页数 44页File Size208k
2004-05-01论文网 http://www.lw23.com/lunwen_64951192/ 风景名胜区;管理;保护;开发利用
project subset; project subset selection; combinational optimization;advanced greedy search algorithm; the interdependence of project;project evaluation with ordinal criteria;filtration of projects for selection
“公正与效率”作为21世纪人民法院的工作主题对执行工作提出了更高的要求，但这一主题却因“执行难”和“执行乱”而难以得到真正实现。在执行过程中，由于各方面的原因造成对执行当事人或利害关系人的损害，是不可能绝对消除的，有损害就应当有救济，没有救济也就无所谓权利，所谓执行救济是指国家在人民法院的执行程序中依法设立的旨在保护执行当事人或案外人的合法权益不因违法执行或不当执行而受到侵害或损害的法律制度。那么如何对已经造成的或可能造成的损害的权利进行救济，以确保最大限度地维护当事人或其他利害关系人的权利？作为矫正执行不当的“执行救济”在我国法律制度中几乎还是空白。本文拟从对执行救济的概念和特点、我国执行救济制度的主要内容暨现状入手，结合其他国家和地区执行救济模式进行分析，得出我国执行救济制度所存在问题的检讨意见，并由此进一步探讨我国执行救济制度的改革与完善，即构建执行救济制度应贯彻如下基本原则：依法救济原则，以事实为根据、以法律为准绳原则，公正原则，效率原则，程序权利与实体权利协调统一原则，借鉴国外立法经验与我国实际情况相结合原则，回避原则，实效原则，分权与制衡原则；并由此设想我国执行救济所应确立的基本制度。在对我国执行救济制度进行了检讨和完善的基础上，本文还将结合目前我国各级人民法院对执行救济机构完善的实践，构建出笔者所认为理想的执行救济的相关制度，以期进一步论证得出执行救济制度的健全、完善将有力地保护执行当事人和案外人的合法权益，促进人民法院所追求的“司法公正”的世纪主题实现这一结论。
Subset selection problem can be described as: There is a set including limited amount of projects, which have two features, consuming a certain amount of resources and output a certain amount of outcome in given objects. Then how to determine a optimal portfolio of projects, which can maximize the utility of decision-maker, within a given resource constraints. Various fields, including economics management, project construction, industry production, etc., are involving with subset selection problem. For instance, the investment portfolio design in the field of investment decision making, the plan design in the field of information system construction, budgeting problem in the field of public finance and projects optimization in the field of project construction are only a part of the applications of subset selection theory. Nevertheless, the researches on subset selection theory are considerable deficient, and most of them are limited to linear programming form. These researches cannot meet the demand of solving practical problems. Aiming at these weaknesses, the study on non-linear subset selection problem, subset selection problem with interdependence, the non-parametric method for subset selection problem and subset selection problem with ordinal criteria is addressed in this dissertation, based on the analysis and summarizing the general theory framework of subset selection problem.The conception, definition, general mathematic form, and programming form of subset selection problem are addressed in the first chapter of the dissertation. Then, according to the feature of objective function and the constraints, the classification system of the subset selection problem is constructed. The overall theory framework of subset selection theory is introduced. In accordance with the weakness of the researches on the subset selection problem, the purpose, content, outline and innovation of the dissertation is given. Then, based on the analysis of the non-linear feature of the investment portfolio selection problem, a dynamic programming model is formulated. After that, an exterior point heuristic algorithm is constructed to solve the model. The surrogate model to determine original point and advanced greedy search algorithm to obtain optimal point are discussed, and the whole processes of the algorithm are addressed. In the third chapter, the crucial effect of the interdependence among the projects is discussed. And a group of definitions and theorems is given to build a definition and measurement system of interdependence phenomena. After that, a non-linear programming model of subset selection problem with interdependence is formulated, and the linearization method for the non-linear model is given. Finally, an application of the model is given.In the fourth chapter, two methods for solving multi-objective subset selection problem: parametric and nonparametric are compared, and the shortcoming of parametric method is analyzed. Based on these, the general idea of the DEA model to solve multi-objective subset selection problem is proposed and corresponding model is constructed. After that, utilizing the outcome of the chapter three, a DEA model to solve subset selection problem with interdependence is formulated. Ordinal criteria are often used in many practical subset selection problems. There are scarce effective methods to solving this kind of problems. Aiming at this, an idea to solve the problems is proposed. That is transforming the subset selection problem with ordinal criteria to the problem with cardinal criteria and then solving the problem. Finally the concrete model and an application are given. Some theoretical study is give hereinbefore. After that, one feature of the subset selection problem, which is that the number of feasible solutions of the subset selection problem will exponentially increase with the increase of the number original projects for selection. So, the most effective way to decrease the computer complexity of the subset selection problem is eliminating the origin
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