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Slope‐stability‐constrained design of irrigation canals using particle swarm optimization
Author(s) -
REDDY M. JANGA,
ADARSH S.
Publication year - 2011
Publication title -
irrigation and drainage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 38
eISSN - 1531-0361
pISSN - 1531-0353
DOI - 10.1002/ird.611
Subject(s) - particle swarm optimization , stability (learning theory) , flexibility (engineering) , constraint (computer aided design) , mathematical optimization , channel (broadcasting) , computer science , nonlinear system , optimal design , nonlinear programming , engineering , mathematics , statistics , physics , quantum mechanics , machine learning , mechanical engineering , computer network
This paper presents a practical methodology for optimal design of open channels considering the slope‐stability aspects and other requirements and propounds the solution of particle swarm optimization (PSO) for solving nonlinear optimization problems. The proposed methodology handles site‐specific conditions such as restrictions on allowable top width and water depths. To ensure the stability of canals under field conditions a slope‐stability constraint is incorporated into the channel design. This constraint is handled through an optimization sub‐routine for computing stability of the canals using PSO. The results of the model show that for all the cases considered in the study the PSO‐based solutions are found to perform well and in some cases better than the traditional solutions. The PSO method provides lot of flexibility in its usage for solving complex channel design problems and it can be used to handle various system requirements in a better way. Copyright © 2011 John Wiley & Sons Ltd.