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Spiral water cycle algorithm for solving multi-objective optimization and truss optimization problems

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Abstract

This paper addresses multi-objective optimization and the truss optimization problem employing a novel meta-heuristic that is based on the real-world water cycle behavior in rivers, rainfalls, streams, etc. This meta-heuristic is called multi-objective water cycle algorithm (MOWCA) which is receiving great attention from researchers due to the good performance in handling optimization problems in different fields. Additionally, the hyperbolic spiral movement is integrated into the basic MOWCA to guide the agents throughout the search space. Consequently, under this hyperbolic spiral movement, the exploitation ability of the proposed MOSWCA is promoted. To assess the robustness and coherence of the MOSWCA, the performance of the proposed MOSWCA is analysed on some multi-objective optimisation benchmark functions; and three truss structure optimization problems. The results obtained by the MOSWCA of all test problems were compared with various multi-objective meta-heuristic algorithms reported in the literature. From the empirical results, it is evident that the suggested approach reaches an excellent performance when solving multi-objective optimization and the truss optimization problems.

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Authors and Affiliations

  1. Faculty of Science, Al-Azhar University, Cairo, Egypt

    Heba F. Eid

  2. Area of Project Engineering, University of Cordoba, Córdoba, Spain

    Laura Garcia-Hernandez

  3. Machine Intelligence Research Labs, MIR Labs, Chicago, USA

    Ajith Abraham

Authors
  1. Heba F. Eid
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  2. Laura Garcia-Hernandez
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  3. Ajith Abraham
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Correspondence to Heba F. Eid.

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Eid, H.F., Garcia-Hernandez, L. & Abraham, A. Spiral water cycle algorithm for solving multi-objective optimization and truss optimization problems. Engineering with Computers 38 (Suppl 2), 963–973 (2022). https://doi.org/10.1007/s00366-020-01237-y

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