Immune network simulation with multiobjective genetic algorithms for multidisciplinary design optimization

Immune network simulation with multiobjective genetic algorithms for multidisciplinary design optimization

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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: ,
Keywords: optimization
Abstract:

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.

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