Search In this Thesis
   Search In this Thesis  
العنوان
Study ON Stochastic Multiobjective Optimization Problems
المؤلف
Hassanin, Taghreed Ali Hassan.
هيئة الاعداد
باحث / Taghreed Ali Hassan Hassanin
مشرف / Ahmed M. N. A. Ebady
مشرف / Addallah A.MOusa
مناقش / Ahmed M. N. A. Ebady
الموضوع
Stochastic analysis. Mathematical optimization- Problems, exercises.
تاريخ النشر
2010.
عدد الصفحات
Computer Optical Disc 1 ;
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة
تاريخ الإجازة
1/1/2010
مكان الإجازة
جامعة المنوفية - كلية الهندسة - Basic Engineering Sciences Department
الفهرس
Only 14 pages are availabe for public view

from 186

from 186

Abstract

As most optimization problems are multiobjective to their nature, there are many methods available to tackle these kind of problems. Generally, the MOOP can be handled in four different ways depending on when the decision-maker (DM) articulates his or her preference on the different objectives, never, before, during or after the actual optimization procedure. 1. Methods where DM does not provide information (no-preference methods) 2. Methods where a posteriori information is used Methods where a posteriori information is used (posteriori methods) 3. Methods where a priori information is used (priori methods) 4. Methods where a progressive information is used (interactive methods) Interactive approaches have been invented to combine advantages of both posteriori and priori methods and avoid their disadvantages. Since the DM is involved in the entire solution process, interactive methods have become popular and are considered promising for multiobjective optimization Problem. It is often difficult to precisely estimate or forecast certain critical.