An Improved Multi-Objective Particle Swarm Optimization With TOPSIS and Fuzzy Logic for Optimizing Trapezoidal Labyrinth Weir

An Improved Multi-Objective Particle Swarm Optimization With TOPSIS and Fuzzy Logic for Optimizing Trapezoidal Labyrinth Weir

Labyrinth Weir (LW) is a popular control structure that passes a significantly higher flow rate compared to the linear weirs. In order to approach the optimal design of a trapezoidal LW, a multi-objective problem is defined to concurrently minimize the LW consumed concrete volume and maximize its di...

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Bibliographic Details
Main Authors: Ali Mahmoud, Xiaohui Yuan, Marwan Kheimi, Mohammad A. Almadani, Taher Hajilounezhad, Yanbin Yuan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Labyrinth Weir
swarm intelligence algorithms
cost reduction
shape optimization
soft computing techniques
Online Access:https://ieeexplore.ieee.org/document/9348931/

Internet

https://ieeexplore.ieee.org/document/9348931/

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