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Uncertainty based evolutionary optimisation

Published: 12 July 2011 Publication History

Abstract

This paper presents a robust evolutionary optimisation approach for real life design problems characterised by uncertainty. The proposed approach handles uncertainty in the design space, as well as in the objective functions and constrains, thanks to a new Pareto dominance criterion based on the neighbourhood around a solution. The approach is applied on a gearbox design optimisation problem as a case study. A comparison between two approaches, robust Pareto dominance criterion and a preference based penalty function, for deal with noisy environment is done for highlight the strength of the proposed robust Pareto dominance criterion.

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  1. Uncertainty based evolutionary optimisation

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      cover image ACM Conferences
      GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
      July 2011
      1548 pages
      ISBN:9781450306904
      DOI:10.1145/2001858

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 July 2011

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      Author Tags

      1. applied multi-objective optimisation
      2. constraints handling
      3. gearbox optimisation
      4. robust optimisation
      5. uncertainty

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