November 22, 2024
Seyed Hamed Meraji

Seyed Hamed Meraji

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Civil Engineering
Phone: 07733440376
Faculty: Faculty of Engineering

Research

Title Application of Particle Swarm Optimization to Optimal Design of Cascade Stilling Basins
Type Article
Keywords
Journal Scientia Iranica
DOI
Researchers Seyed Hamed Meraji (Second researcher) ,

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