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Multi-objective Optimization of the Reinforced Concrete Beam

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Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1275))

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Abstract

This paper introduces two kinds of multi-objective optimization algorithms. The optimal values are determined through multi-objective functions and various equality and inequality constraints. The optimal value results of the two algorithms with different parameters are discussed. A simplified optimization case of reinforced concrete beam was discussed that minimizes the total cost of reinforced concrete beams while complying with all strength and serviceability requirements for a given level of the applied load. This paper focuses on the differences between Multi-objective Harmony Search Algorithm (MOHSA) and Multi-objective Genetic Algorithm (MOGA) for reinforced concrete beam design subjected to a specified set of constraints by considering aspects of the Harmony Memory Considering Rate (HMCR) parameters in HSA and Population Mutation (Pm) parameters in GA. Through HSA and GA for RC beam problem, with same reference strength, the result using GA has a lower cost than using HSA.

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Authors and Affiliations

  1. Korea University, Anam-ro, Seongbuk-gu, Seoul, Korea

    Zhi-Yu Zhang, Zulkarnaen Gifari, Young-Kyu Ju & Joong Hoon Kim

Authors
  1. Zhi-Yu Zhang
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  2. Zulkarnaen Gifari
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  3. Young-Kyu Ju
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  4. Joong Hoon Kim
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Corresponding authors

Correspondence to Young-Kyu Ju or Joong Hoon Kim .

Editor information

Editors and Affiliations

  1. Istanbul University – Cerrahpaşa, Istanbul, Turkey

    Sinan Melih Nigdeli

  2. Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  3. Istanbul University - Cerrahpaşa, Istanbul, Turkey

    Gebrail Bekdaş

  4. Dr. BR Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

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Zhang, ZY., Gifari, Z., Ju, YK., Kim, J.H. (2021). Multi-objective Optimization of the Reinforced Concrete Beam. In: Nigdeli, S.M., Kim, J.H., Bekdaş, G., Yadav, A. (eds) Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications. ICHSA 2020. Advances in Intelligent Systems and Computing, vol 1275. Springer, Singapore. https://doi.org/10.1007/978-981-15-8603-3_15

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