Deterministic versus Stochastic Design of Water Distribution Networks

By Orazio Giustolisi, D. Laucelli, A. Colombo. 2009

106 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Health, Toxicology and Mutagenesis, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8e1788f54c09cbe8fd2aa5496c4752481a48584d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Guangtao Fu
2. Mashor Housh
3. Avi Ostfeld
4. Zoran Kapelan
5. Lina Sela Perelman
6. Xin-She Yang

In Health, Toxicology and Mutagenesis

1. Mashor Housh
2. Avi Ostfeld
3. Zoran Kapelan
4. Guangtao Fu
5. Lina Sela Perelman

In Statistics and Probability

1. Guangtao Fu
2. Mashor Housh
3. Avi Ostfeld
4. Zoran Kapelan
5. Lina Sela Perelman

Citations in the corpus

• Fuzzy probabilistic design of water distribution networks (2011, methodology): “[30] Genetic algorithms are possibly the most popular optimization method for WDS design problems, and numeric applications can be found in the literature [e.g., Dandy et al., 1996; Savic and Walters, 1997; Tolson et al. 2004; Babayan et al., 2007; Giustolisi et al., 2009].”
• Robust optimization for water distribution systems least cost design (2013, methodology): “…problem is then solved by analytical (e.g., through the general reduced gradient GRG2) [Lasdon and Waren, 1986] or sampling-based optimization techniques [Lansey et al., 1989; Xu and Goutler, 1999; Tolson et al., 2004; Kapelan et al., 2005; Babayan et al., 2005, 2007; Giustolisi et al., 2009].”