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Multi-objective Optimization for Renewal Planning of Sewer Systems Under Changing Climate

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the critical challenges faced by urban drainage systems due to climate change and aging infrastructure. It highlights the need for effective renewal planning to ensure the reliability and cost-efficiency of sewer networks. The study introduces a bi-objective optimization model that aims to minimize both rehabilitation costs and the risk of structural and capacity failures. A key focus is the application of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve this complex optimization problem. The methodology involves a detailed description of the optimization model, including constraints and decision variables, and provides insights into the performance of the NSGA-II algorithm through computational results. The chapter concludes with a discussion on the efficiency of the proposed model, demonstrating its potential to generate Pareto-optimal solutions that balance cost and resilience in sewer system renewal planning.

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Title
Multi-objective Optimization for Renewal Planning of Sewer Systems Under Changing Climate
Authors
Kayhan Alamatsaz
Hamidreza Shirkhani
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-95107-7_2
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