Abstract
In time-varying groundwater remediation problem, 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 Genetic Algorithm (GA) and Constrained Differential Dynamic Programming (CDDP) to solve this time-varying groundwater remediation problem. GA can easily incorporate the fixed costs associated with the installation of a well. However, using GA to solve for time-varying policies would dramatically increase the computational resources required. Therefore, the CDDP is used to handle the sub-problems associated with time-varying operating costs. Consequently, the CDDP is embedded into the GA. A case study that incorporates fixed and time-varying operating costs is also presented to demonstrate the effectiveness of the proposed algorithm. Simulation results indicate that the proposed algorithm can reduce the total cost of time-varying groundwater remediation problem by 68.39% when using only CDDP. By doing so, the minimal total cost (consisting of fixed and time-varying operating costs) can be calculated. Copyright ASCE 2004.
Original language | English |
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Title of host publication | Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 |
Subtitle of host publication | Building Partnerships |
DOIs | |
State | Published - 1 Dec 2004 |
Event | Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 - Minneapolis, MN, United States Duration: 30 Jul 2000 → 2 Aug 2000 |
Publication series
Name | Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships |
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Volume | 104 |
Conference
Conference | Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 |
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Country/Territory | United States |
City | Minneapolis, MN |
Period | 30/07/00 → 2/08/00 |
Keywords
- Algorithms
- Costs
- Dynamic programming
- Ground-water pollution
- Optimization
- Planning
- Water pollution