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Reliability Optimization for the Complex Bridge System: Fuzzy Multi-criteria Genetic Algorithm

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

System reliability optimization often involves multiple fuzzy conflicting objectives, for instance, reducing system cost and reliability improvement. This paper presents a system reliability optimization problem for the complex bridge system. First, the problem is formulated as a fuzzy multi-criteria nonlinear program. Second, we propose a fuzzy multi-criteria genetic algorithm approach (FMGA) to solve the problem. Fuzzy evaluation techniques are used to handle fuzzy goals and constraints, resulting in a flexible and adaptable approach that provides high-quality solutions within reasonable computation times. Using fuzzy theory concepts, the preferences of the decision maker on the cost and reliability objectives are judiciously incorporated. Third, computational experiments results are presented based on benchmark problems in the literature. The computational results obtained show that the proposed method is encouraging.

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Author information

Authors and Affiliations

  1. School of Engineering, Namibia University of Science & Technology, Windhoek, Namibia

    Michael Mutingi

  2. Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

    Michael Mutingi

  3. Mechanical Engineering Department, University of Botswana, Gaborone, Botswana

    Venkata P. Kommula

Authors
  1. Michael Mutingi
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  2. Venkata P. Kommula
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Corresponding author

Correspondence to Michael Mutingi .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Michael Mutingi, Kommula, V.P. (2016). Reliability Optimization for the Complex Bridge System: Fuzzy Multi-criteria Genetic Algorithm. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_58

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

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