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

  • Hui Wang
  • Wenjun WangEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 986)

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.

Keywords

Artificial bee colony Swarm intelligence Multi-strategy Ensemble Water demand prediction 

Notes

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent ProcessingNanchang Institute of TechnologyNanchangChina
  2. 2.School of Information EngineeringNanchang Institute of TechnologyNanchangChina
  3. 3.School of Business AdministrationNanchang Institute of TechnologyNanchangChina

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