Heuristic Optimization Model for the Optimal Layout and Pipe Design of Sewer Systems
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DOI: 10.1007/s11269-015-1191-8
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References listed on IDEAS
- Omer Karovic & Larry Mays, 2014. "Sewer System Design Using Simulated Annealing in Excel," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4551-4565, October.
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- Gustavo Paiva Weyne Rodrigues & Luis Henrique Magalhães Costa & Guilherme Marques Farias & Marco Aurélio Holanda Castro, 2019. "A Depth-First Search Algorithm for Optimizing the Gravity Pipe Networks Layout," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4583-4598, October.
- Faisal M. Alfaisal & Larry W. Mays, 2021. "Optimization Models for Layout and Pipe Design for Storm Sewer Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4841-4854, November.
- Praveen K. Navin & Yogesh P. Mathur, 2016. "Layout and Component Size Optimization of Sewer Network Using Spanning Tree and Modified PSO Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3627-3643, August.
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- Joshua C. Steele & Kurt Mahoney & Omer Karovic & Larry W. Mays, 2016. "Heuristic Optimization Model for the Optimal Layout and Pipe Design of Sewer Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1605-1620, March.
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Keywords
Sewer systems; Optimization; Minimum cost design; Hierarchical modeling; Simulated annealing; Mixed-integer nonlinear programming;All these keywords.
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