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Evaluation of Differential Evolution and Particle Swarm Optimization Algorithms on Solving the Construction Site Dewatering Problems

Author(s): Mustafa Tamer Ayvaz

Linked Author(s): Tamer Ayvaz

Keywords: Construction dewatering, simulation-optimization, groundwater modeling

Abstract: The objective of this study is to evaluate the performance of the differential evolution (DE) and the particle swarm optimization (PSO) approaches for solving the construction site dewatering optimization problems. In the proposed approaches, the same analytical groundwater flow model was considered in the simulation part. The objective of both DE and PSO based optimization approaches is to determine the locations and the pumping rates of the dewatering wells by minimizing the total groundwater withdrawal rate as the objective function. The constraints related with the drawdown and well locations were considered by means of the penalty function approach during the search process. The performance of the proposed approaches were evaluated on a hypothetical construction excavation site in detail for different well numbers. Identified results indicated that both DE and PSO based optimization approaches can effectively determine the optimum dewatering system for the given construction site

DOI:

Year: 2017

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