Mitsuo Gen received his BS and PhD in 1969 and 1974, respectively, from Kogakuin University. He was appointed Lecturer at Ashikaga Institute of Technology in 1974 and promoted to Assistant Professor in 1980. In 1981 and 1982, he was a Visiting Assistant Professor at the University of Nebraska-Lincoln. In 1987 he became a Professor at Ashikaga. He has been working on system optimization methods, numerical methods and development of software for multiobjective design. His book, Linear Goal Programming was published by the Electric Book Publishing Co. He is a member of Japanese Society of Operations Research, Japanese Society for Management Engineering, the Society for Information Processing and IEEE.
Article
A computational algorithm for solving 0-1 goal programming with GUB structures and its application for optimization problems in system reliability
Article first published online: 11 SEP 2007
DOI: 10.1002/ecjc.4430731210
Copyright © 1990 Wiley Periodicals, Inc., A Wiley Company
Issue
1520-6440/asset/cover.gif?v=1&s=5dcbd8b5581795810e209e1f34ba941dd2b64c08)
Electronics and Communications in Japan (Part III: Fundamental Electronic Science)
Volume 73, Issue 12, pages 88–96, 1990
Additional Information
How to Cite
Gen, M., Ida, K. and Lee, J.-U. (1990), A computational algorithm for solving 0-1 goal programming with GUB structures and its application for optimization problems in system reliability. Electron. Comm. Jpn. Pt. III, 73: 88–96. doi: 10.1002/ecjc.4430731210
Publication History
- Issue published online: 11 SEP 2007
- Article first published online: 11 SEP 2007
- Abstract
- References
- Cited By
Abstract
Upon to now, system optimal allocation problems such as system reliability and system availability problems have been formulated as single-objective problems and solved through the use of various well-developed optimization techniques.
However, in this field, there are many problems that cannot be solved without applying MODM (multiple-objective decision making) methods. These methods deal with multiple objectives that conflict with each other instead of formulating the problem as a single objective programming problem which optimizes only the reliability of the cost function, as is done in previous methods.
GP (goal programming) is one of the most powerful MODM tools in this field. In practical MODM problems, many GP problems involve a large number of 0-1 decision variables and a special type of 0-1 variable, which arises during the transformation of non-linear integer programming into 0-1 linear programming.
In this paper, we propose an efficient and specific algorithm for solving large-scale 0-1 GP problems in particular structures, which are termed GUB structures. Furthermore, to illustrate the effectiveness of the algorithm proposed here, we introduce two numerical examples from among the problems of system reliability, and compare the algorithm proposed with previous methods.
