Department of Civil Engineering,Iran University of Science and Technology
Abstract
Abstract. This paper employs the Particle Swarm Optimization (PSO) method to solve the problem
of the optimal design of cascade stilling basins. PSO is a relatively recent heuristic search method whose
mechanism is inspired by the swarming or collaborative behavior of biological populations. The objective
of this research is to minimize the total construction cost of cascade stilling basins, which is a function
of height of the falls and length of stilling basins, while ful lling the hydraulic and topographical criteria.
To illustrate the application of PSO, a benchmark design is taken from the work of Vittal and Porey [1]
on a cascade stilling basin for the Tehri Dam, India.
Afshar, M., Daraeikhah, M., & Meraji, S. (2009). Application of Particle Swarm Optimization to Optimal Design of Cascade Stilling Basins. (e3174). Scientia Iranica, 16(1), e3174
MLA
Afshar, M., Daraeikhah, M., & Meraji, S. "Application of Particle Swarm Optimization to Optimal Design of Cascade Stilling Basins" .e3174 , Scientia Iranica, 16, 1, 2009, e3174.
HARVARD
Afshar M., Daraeikhah M., Meraji S. (2009). 'Application of Particle Swarm Optimization to Optimal Design of Cascade Stilling Basins', Scientia Iranica, 16(1), e3174.
CHICAGO
M. Afshar, M. Daraeikhah & S. Meraji, "Application of Particle Swarm Optimization to Optimal Design of Cascade Stilling Basins," Scientia Iranica, 16 1 (2009): e3174,
VANCOUVER
Afshar M., Daraeikhah M., Meraji S. Application of Particle Swarm Optimization to Optimal Design of Cascade Stilling Basins. Scientia Iranica. 2009;16(1):e3174.
