Inconsistent structures and calibration of discrete systems

碩士 === 國立清華大學 === 工業工程研究所 === 81 === Integer Linear Programming models have been applied to a great varieties of problems and can be solved by enumeration, branch- and-bound or cutting plane methods. However, no matter which method is empl...

Full description

Bibliographic Details
Main Authors: Tung, Hung-Ling, 董虹伶
Other Authors: Wang, Hsiao-Fan
Format: Others
Language:en_US
Published: 1993
Online Access:http://ndltd.ncl.edu.tw/handle/84365457037536694159
Description
Summary:碩士 === 國立清華大學 === 工業工程研究所 === 81 === Integer Linear Programming models have been applied to a great varieties of problems and can be solved by enumeration, branch- and-bound or cutting plane methods. However, no matter which method is employed, solving an ILP system is a time-consuming task. In particular, if the systems are inconsistent they are noted after complete operations. It is certainly a waste. Althought, there are some studies proposed the inconsistent structures of LP systems but there is a solution on LP does not imply that is consistent on ILP. That is the reason why we must discuss the inconsistent structure on ILP individually. The main purposes of this study are to identify the discrete inconsistent systems and to develop a calibration method for providing at least one solution. In this study, Chapter 1 introduces the motivation and purposes. Part 1 contains four chapters. We investigate the inconsistent structure of ILPs and provide consistent and inconsistent properties for the Nonnegative ILP systems. In Chapter 2, we introduce the literature review of this paper, and in Chapter 3, we present the inconsistent structure of ILP systems which is for the Nonnegative Integer Linear Programming and in the Chapter 4 we extend the properties in the Chapter 3 into most general systems. In Chapter 5, we summarize the properties of the inconsistent stuctures. Part 2 contains one chapter, Chapter 6. In Chapter 6, we develop a model and a solution method for providing at least one solution. Finally, we summarize the whole study in Chapter 7.