Dynamic optimal ground water remediation including fixed and operation costs

Liang-Cheng Chang*, Chin Tsai Hsiao


研究成果: Article同行評審

22 引文 斯高帕斯(Scopus)


In time-varying ground water remediation, the lack of an optimal control algorithm to simultaneously consider fixed costs and time-varying operating costs makes it nearly impossible to obtain an optimal solution. This study presents a novel algorithm that integrates a genetic algorithm (GA) and constrained differential dynamic programming (CDDP) to solve this time-varying ground water remediation problem. A GA can easily incorporate the fixed costs associated with the installation of wells. However, using a GA to solve for time-varying policies would dramatically increase the computational resources required. Therefore, the CDDP is used to handle the subproblems associated with time-varying operating costs. A hypothetical case study that incorporates fixed and time-varying operating costs is presented to demonstrate the effectiveness of the proposed algorithm. Simulation results indicate that the fixed costs can significantly influence the number and locations of wells, and a notable total cost savings can be realized by applying the novel algorithm herein.

頁(從 - 到)481-490
期刊Ground water
出版狀態Published - 9月 2002


深入研究「Dynamic optimal ground water remediation including fixed and operation costs」主題。共同形成了獨特的指紋。