Article ID: | iaor20021430 |
Country: | Netherlands |
Volume: | 33 |
Issue: | 2 |
Start Page Number: | 245 |
End Page Number: | 260 |
Publication Date: | Dec 2000 |
Journal: | Engineering Optimization |
Authors: | Azarm S., Kurapati A. |
Keywords: | optimization |
The paper presents a method called MOGA-INS for Multidisciplinary Design Optimization (MDO) of systems that involve multiple competing objectives with a mix of continuous and discrete variables. The method is based on the Immune Network Simulation (INS) approach that has been extended by combining it with a Multi-Objective Genetic Algorithm (MOGA), MOGA obtains Pareto solutions for multiple objective optimization problems in an all-at-once manner. INS provides a coordination strategy for subsystems in MDO to interact and is naturally suited for genetic algorithm-based optimization methods. The MOGA-INS method is demonstrated with a speed-reducer example, formulated as a two-level two-objective design optimization problem.