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Water Flow-Like Optimization Algorithm for Multi-objective Continuous Optimization Problem

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Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)

Abstract

This paper presents a WFA for Multi-objective Continuous Optimization Problems. Namely WFA4MC. In order to prove WFA4MC performances precisely, this research proposes Correctness and Coverness to measure non-dominated solutions in ZDT functions. Besides, the Generational Distance is used in the comparison with other heuristic algorithms. The result showed that based on the same limit of the number of objective function calls, the WFA4MC outperform than others.

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Author information

Authors and Affiliations

  1. Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan

    Feng-Cheng Yang & Bryan Ni

Authors
  1. Feng-Cheng Yang
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  2. Bryan Ni
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Corresponding author

Correspondence to Feng-Cheng Yang .

Editor information

Editors and Affiliations

  1. Industrial Engineering Institution of CM, Tianjin, People's Republic of China

    Ershi Qi

  2. Industrial Engineering Institution of CM, Tianjin, People's Republic of China

    Jiang Shen

  3. College of Management and Economics Industrial Engineering, Tianjin University, Tianjin, People's Republic of China

    Runliang Dou

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Yang, FC., Ni, B. (2014). Water Flow-Like Optimization Algorithm for Multi-objective Continuous Optimization Problem. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40060-5_46

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