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Optimal sewer network designs are NP-hard and highly complicated nonlinear problems. Conventional optimization techniques often easily get bogged down in local optima and cannot successfully address such problems. In the past decades, heuristic algorithms with robust and efficient global-search capabilities have helped to solve continuous and discrete optimization problems and have demonstrated considerable...
This study employed simulated annealing (SA) to optimize minimum-cost design of sewer network. A sewer network design which contains significantly varied elevations was used as a case study. The results show that SA is able to achieve least-cost solutions which also fulfill all the constraints of design criteria. Based on the average performance of 200 trials, SA exhibits robustness and efficiency...
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