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A Comprehensive Evaluation: Water Cycle Algorithm and Its Applications

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Bio-inspired Computing: Theories and Applications (BIC-TA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 952))

Abstract

Recently nature-inspired optimization algorithms have become a popular choice for solving complex optimization problems. Water Cycle Algorithm (WCA) is a nature-inspired new optimization technique, which has successfully applied to solve the constrained optimization and engineering design problems. As a result, the WCA studies have extended significantly in the last 5 years. This review paper provides the comprehensive assessment of WCA in the area of modifications, hybridizations, and applications. Moreover, it will provide the awareness to the researchers how the current algorithm can be modified according to the nature of the problems. The narrative of how WCA was used in the tactics for solving these kinds of problems. Future research directions are also discussed based on the comprehensive conclusion as well as discussion. To the best of our knowledge, this is the first review article which has enclosed extensive information about the WCA and its applications.

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Acknowledgments

The work described in this paper was supported by grants from The Natural Science Foundation of China (Grant No. 71571120, 71271140); Project of Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme 2016; China Postdoctoral Science Foundation (Grant No. 2016M602528).

Author information

Authors and Affiliations

  1. College of Management, Shenzhen University, Shenzhen, 518060, China

    Rana Muhammad Sohail Jafar, Shuang Geng, Wasim Ahmad, Safdar Hussain & Hong Wang

  2. Pir Mehr Ali Shah, Arid Agriculture University, Rawalpindi, 46000, Pakistan

    Safdar Hussain

Authors
  1. Rana Muhammad Sohail Jafar
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  2. Shuang Geng
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  3. Wasim Ahmad
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  4. Safdar Hussain
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  5. Hong Wang
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Corresponding author

Correspondence to Shuang Geng .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Jianyong Qiao

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Xinchao Zhao

  3. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Xingquan Zuo

  5. Anhui University, Hefei, China

    Xingyi Zhang

  6. City University of Hong Kong, Kowloon, Hong Kong

    Qingfu Zhang

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Shanguo Huang

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Jafar, R.M.S., Geng, S., Ahmad, W., Hussain, S., Wang, H. (2018). A Comprehensive Evaluation: Water Cycle Algorithm and Its Applications. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-13-2829-9_33

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  • DOI: https://doi.org/10.1007/978-981-13-2829-9_33

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