Abstract
Four constraint handling improvements for Multi-Objective Genetic Algorithms (MOGA) are proposed. These improvements are made in the fitness assignment stage of a MOGA and are all based upon a “Constraint-First-Objective-Next" model. Two multi-objective design optimization examples, i.e. a speed reducer design and the design of a fleet of ships, are used to demonstrate the improvements. For both examples, it is shown that the proposed constraint handling techniques significantly improve the performance of a baseline MOGA.
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Received September 14, 2000 Revised manuscript received February 15, 2001
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Kurpati, A., Azarm, S. & Wu, J. Constraint handling improvements for multiobjective genetic algorithms. Struct Multidisc Optim 23, 204–213 (2002). https://doi.org/10.1007/s00158-002-0178-2
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DOI: https://doi.org/10.1007/s00158-002-0178-2