Optimizing reliability-based robust design model using multi-objective genetic algorithm

Authors:
Vijay Rathod;Om Prakash Yadav;Ajay Rathore;Rakesh Jain
Affiliations:
Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur 302 017, India;Department of Industrial and Manufacturing Engineering, North Dakota State University, Fargo, ND 58105, USA;Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur 302 017, India;Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur 302 017, India
Venue:
Computers and Industrial Engineering
Year:
2013

Citing 2
Cited 0

Dimension reduction method for reliability-based robust design optimization

Computers and Structures
Reliability-based optimization using evolutionary algorithms

IEEE Transactions on Evolutionary Computation

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Abstract

Reliability-based robust design optimization (RBRDO) is one of the most important tools developed in recent years to improve both quality and reliability of the products at an early design stage. This paper presents a comparative study of different formulation approaches of RBRDO models and their performances. The paper also proposes an evolutionary multi-objective genetic algorithm (MOGA) to one of the promising hybrid quality loss functions (HQLF)-based RBRDO model. The enhanced effectiveness of the HQLF-based RBRDO model is demonstrated by optimizing suitable examples.