An Improved Slime Mould Algorithm for Demand Estimation of Urban Water Resources

An Improved Slime Mould Algorithm for Demand Estimation of Urban Water Resources

A slime mould algorithm (SMA) is a new meta-heuristic algorithm, which can be widely used in practical engineering problems. In this paper, an improved slime mould algorithm (ESMA) is proposed to estimate the water demand of Nanchang City. Firstly, the opposition-based learning strategy and elite ch...

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Bibliographic Details
Main Authors: Kanhua Yu, Lili Liu, Zhe Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
water demand estimation
slime mould algorithm
opposition-based learning
elite chaotic searching strategy
parameters optimization
Online Access:https://www.mdpi.com/2227-7390/9/12/1316

Internet

https://www.mdpi.com/2227-7390/9/12/1316

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