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A New Multi-strategy Ensemble Artificial Bee Colony Algorithm for Water Demand Prediction

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Computational Intelligence and Intelligent Systems (ISICA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 986))

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Abstract

Artificial bee colony (ABC) is an efficient global optimizer, which has bee successfully used to solve various optimization problems. Recently, multi-strategy ensemble technique was embedded to ABC to make a good trade-off between exploration and exploitation. In this paper, a new multi-strategy ensemble ABC (NMEABC) is proposed. In our approach, each food source is assigned a probability to control the frequency of dimension perturbation. Experimental results show that NMEABC is superior to the original multi-strategy ensemble ABC (MEABC). Finally, NMEABC is applied to predict the water demand in Nanchang city. Simulation results demonstrate that NMEABC can achieve a good prediction accuracy.

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Acknowledgement

This work was supported by the Science and Technology Plan Project of Jiangxi Provincial Education Department (No. GJJ170994), the National Natural Science Foundation of China (No. 61663028), the Distinguished Young Talents Plan of Jiangxi Province (No. 20171BCB23075), the Natural Science Foundation of Jiangxi Province (No. 20171BAB202035), and the Open Research Fund of Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing (No. 2016WICSIP015).

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Authors and Affiliations

  1. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, 330099, China

    Hui Wang

  2. School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China

    Hui Wang

  3. School of Business Administration, Nanchang Institute of Technology, Nanchang, 330099, China

    Wenjun Wang

Authors
  1. Hui Wang
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  2. Wenjun Wang
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Corresponding author

Correspondence to Wenjun Wang .

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Editors and Affiliations

  1. School of Information Science and Technology, Jiujiang University, Jiujiang, China

    Hu Peng

  2. School of Information Science and Technology, Jiujiang University, Jiujiang, China

    Changshou Deng

  3. School of Computer, Wuhan University, Wuhan, China

    Zhijian Wu

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Wang, H., Wang, W. (2019). A New Multi-strategy Ensemble Artificial Bee Colony Algorithm for Water Demand Prediction. In: Peng, H., Deng, C., Wu, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2018. Communications in Computer and Information Science, vol 986. Springer, Singapore. https://doi.org/10.1007/978-981-13-6473-0_6

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  • DOI: https://doi.org/10.1007/978-981-13-6473-0_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6472-3

  • Online ISBN: 978-981-13-6473-0

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