碩士 / 國立中興大學 / 環境工程學系所 / 98 / In the past decades, linear programming, nonlinear programming and dynamic programming were often employed to solve complicated environmental engineering optimization problems. However, they were frequently trapped in local optima and failed to solve complicated and multimodal problems efficiently and effectively. Therefore, this study developed two widely used heuristic algorithms — Scatter Search (SS) and Enhanced Ant-Tabu (EAT) to solve sewer network and groundwater management optimization problems.
This study integrated SS and EAT with sewer system and groundwater simulation models, and search for the minimum sewer system construction cost, the minimum groundwater remediation cost, and identification of groundwater pollution and pumping sources. The solutions obtained by SS and EAT are also compared to evaluate the optimization quality and stability of the two techniques. The results indicate that SS and EAT are both able to successfully achieve the high-quality optimization solutions.
| Identifer | oai:union.ndltd.org:TW/098NCHU5087025 |
| Date | January 2010 |
| Creators | Yi-Ping Chen, 陳逸平 |
| Contributors | 林明德 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 105 |
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