Optimizing remediation of an unconfined aquifer using a hybrid algorithm

Chin Tsai Hsiao*, Liang-Jeng Chang

*此作品的通信作者

研究成果: Article同行評審

15 引文 斯高帕斯(Scopus)

摘要

We present a novel hybrid algorithm, integrating a genetic algorithm (GA) and constrained differential dynamic programming (CDDP), to achieve remediation planning for an unconfined aquifer. The objective function includes both fixed and dynamic operation costs. GA determines the primary structure of the proposed algorithm, and a chromosome therein implemented by a series of binary digits represents a potential network design. The time-varying optimal operation cost associated with the network design is computed by the CDDP, in which is embedded a numerical transport model. Several computational approaches, including a chromosome bookkeeping procedure, are implemented to alleviate computational loading. Additionally, case studies that involve fixed and time-varying operating costs for confined and unconfined aquifers, respectively, are discussed to elucidate the effectiveness of the proposed algorithm. Simulation results indicate that the fixed costs markedly affect the optimal design, including the number and locations of the wells. Furthermore, the solution obtained using the confined approximation for an unconfined aquifer may be infeasible, as determined by an unconfined simulation.

原文English
頁(從 - 到)904-915
頁數12
期刊Ground water
43
發行號6
DOIs
出版狀態Published - 1 11月 2005

指紋

深入研究「Optimizing remediation of an unconfined aquifer using a hybrid algorithm」主題。共同形成了獨特的指紋。

引用此