Optimization of Flood Control Systems by Combining Discrete Differential Dynamic Programming and Genetic Algorithm

فصلنامه آب و توسعه پایدار

Article 5, Volume 7, Issue 1 - Serial Number 15, June 2020, Pages 37-48   

Document Type: Original Article/Regular article

DOI: 10.22067/jwsd.v7i1.81283

Authors

Masoume Behrouz; AmirMohammad Keshvarifard

Abstract

Article Type: Research/Case Study
The present study is aimed to optimum design the one of the structural methods of flood control (Levees) based on dynamic programming (DP). In order to accelerate computing time, a model was created based on the combination of discrete differential dynamic programming and genetic algorithm (GA-DDDP). The objective function of this model is to minimize the total costs, including the cost of constructing the structure and residual damage cost. For this purpose, the length of the studied river was divided into three reaches and the optimal dimensions of the four sections were obtained as output results. Modeling and running was done by coding in MATLAB software and the results showed that the running time of GA-DDDP combined model is just 11% of the time to running the classic dynamic planning model. Also in this study, the results of the four-section model were compared with the simpler single-section model (equivalent section). The results show that the simplification of model to one section causes the increasing costs to about 20%.

Keywords

Flood Control; Levee; Optimization; Discrete Differential Dynamic Programming; Genetic algorithm

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