ِA New formulation for bi-objective optimization through a combined approach /
Mohamed Shahat Abdelazim Badawi
ِA New formulation for bi-objective optimization through a combined approach / صيغة جديدة للتصميم الأمثل ثنائى الهدف من خلال نهج مشترك Mohamed Shahat Abdelazim Badawi ; Supervised Mohamed H. Gadallah , Hesham A. Hegazi - Cairo : Mohamed Shahat Abdelazim Badawi , 2014 - 101P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production
In this work, we present a new approach based on the combined conventional and minimum sensitivity optimization approaches. We provide a new formulation in which the conventional objective function and the minimum sensitivity function are solved in a bi-objective optimization problem. A perturbation analysis is carried using Monte Carlo (MC) simulation approach. A comparison among the three approaches is provided. The validity of the new approach is ascertained through test problems. Five case studies are presented. An optimization code is developed using Matlab environment
Bi-objective Optimization Feasibility Robustness Objective Robustness
ِA New formulation for bi-objective optimization through a combined approach / صيغة جديدة للتصميم الأمثل ثنائى الهدف من خلال نهج مشترك Mohamed Shahat Abdelazim Badawi ; Supervised Mohamed H. Gadallah , Hesham A. Hegazi - Cairo : Mohamed Shahat Abdelazim Badawi , 2014 - 101P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production
In this work, we present a new approach based on the combined conventional and minimum sensitivity optimization approaches. We provide a new formulation in which the conventional objective function and the minimum sensitivity function are solved in a bi-objective optimization problem. A perturbation analysis is carried using Monte Carlo (MC) simulation approach. A comparison among the three approaches is provided. The validity of the new approach is ascertained through test problems. Five case studies are presented. An optimization code is developed using Matlab environment
Bi-objective Optimization Feasibility Robustness Objective Robustness