- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Multi-Objective GPP with General Negative Degree of Difficulty: New Insights | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 5, Volume 11, Issue 2, 2011, Pages 35-51 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2011.027862 | ||
| Authors | ||
| Abbas Y. Al-Bayati; Huda E. Khalid | ||
| Abstract | ||
| The methods for solving nonlinear multi-objective optimization are divided into three major categories: methods with apriori articulation of preferences, methods with a posteriori articulation of preferences, and methods with no articulation of preferences. Really there is no single approach is superior. In this paper, a combination between two well known approaches has been used to solve multi-objective GP problems having negative degree of difficulty. First, we use an alternative procedure for converting GP problem having negative degree of difficulty to positive degree of difficulty; second we proposed to discuss all available cases for any number of multi-objective in GP problems using Lexicographic method. This avoids the difficulty of non-differentiability of the dual objective function in the classical methods. | ||
|
Statistics Article View: 376 PDF Download: 240 |
||