scholarly journals Rebirthing genetic algorithm for storm sewer network design

2012 ◽  
Vol 19 (1) ◽  
pp. 11-19 ◽  
Author(s):  
M.H. Afshar
Keyword(s):  
Genetic Algorithm ◽  
Network Design ◽  
Sewer Network ◽  
Storm Sewer

scholarly journals Decision making in flood risk based storm sewer network design

2011 ◽  
Vol 64 (1) ◽  
pp. 247-254 ◽  
Author(s):  
S. A. Sun ◽  
S. Djordjević ◽  
S. T. Khu
Keyword(s):  
Decision Making ◽  
Network Design ◽  
Flood Risk ◽  
Pareto Front ◽  
Multi Objective Optimization ◽  
Sewer System ◽  
Multi Objective ◽  
Design Storm ◽  
Sewer Network ◽  
Storm Sewer

It is widely recognised that flood risk needs to be taken into account when designing a storm sewer network. Flood risk is generally a combination of flood consequences and flood probabilities. This paper aims to explore the decision making in flood risk based storm sewer network design. A multi-objective optimization is proposed to find the Pareto front of optimal designs in terms of low construction cost and low flood risk. The decision making process then follows this multi-objective optimization to select a best design from the Pareto front. The traditional way of designing a storm sewer system based on a predefined design storm is used as one of the decision making criteria. Additionally, three commonly used risk based criteria, i.e., the expected flood risk based criterion, the Hurwicz criterion and the stochastic dominance based criterion, are investigated and applied in this paper. Different decisions are made according to different criteria as a result of different concerns represented by the criteria. The proposed procedure is applied to a simple storm sewer network design to demonstrate its effectiveness and the different criteria are compared.

scholarly journals A Novel SWMM Based Algorithm Application to Storm Sewer Network Design

Water ◽  
2017 ◽  
Vol 9 (10) ◽  
pp. 747 ◽  
Author(s):  
Zhiyu Shao ◽  
Xiaoyuan Zhang ◽  
Shuang Li ◽  
Shihu Deng ◽  
Hongxiang Chai
Keyword(s):  
Network Design ◽  
Sewer Network ◽  
Storm Sewer

A general framework for flood risk-based storm sewer network design

2011 ◽  
Vol 8 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Si'Ao Sun ◽  
Slobodan Djordjević ◽  
Soon-Thiam Khu
Keyword(s):  
Network Design ◽  
Flood Risk ◽  
General Framework ◽  
Sewer Network ◽  
Storm Sewer

A biased random-key genetic algorithm for wireless backhaul network design

2015 ◽  
Vol 33 ◽  
pp. 150-169 ◽  
Author(s):  
Carlos E. Andrade ◽  
Mauricio G.C. Resende ◽  
Weiyi Zhang ◽  
Rakesh K. Sinha ◽  
Kenneth C. Reichmann ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Network Design ◽  
Wireless Backhaul

Solving a Two-stage Supply Chain Network Design Problem with Fixed Costs by a Hybrid Genetic Algorithm

2021 ◽  
Author(s):  
Ovidiu Cosma ◽  
Petrică C Pop ◽  
Cosmin Sabo
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Network Design ◽  
Design Problem ◽  
Optimization Problem ◽  
Hybrid Genetic Algorithm ◽  
Network Design Problem ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fixed Costs

Abstract In this paper we investigate a particular two-stage supply chain network design problem with fixed costs. In order to solve this complex optimization problem, we propose an efficient hybrid algorithm, which was obtained by incorporating a linear programming optimization problem within the framework of a genetic algorithm. In addition, we integrated within our proposed algorithm a powerful local search procedure able to perform a fine tuning of the global search. We evaluate our proposed solution approach on a set of large size instances. The achieved computational results prove the efficiency of our hybrid genetic algorithm in providing high-quality solutions within reasonable running-times and its superiority against other existing methods from the literature.

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