Using genetic programming to determine Chèzy resistance coefficient in corrugated channels

By Orazio Giustolisi. 2004

121 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ecology, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4b8922b0be025e8b4b167fb27fc77f3aad824d4c

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. Dragan A. Savic
2. Chun Kiat Chang
3. Nor Azazi Zakaria
4. C. S. Leow
5. Aminuddin Ab. Ghani
6. H. Azamathulla
7. Orazio Giustolisi

In Ecology

1. Dragan A. Savic
2. Chun Kiat Chang
3. Nor Azazi Zakaria
4. C. S. Leow
5. Aminuddin Ab. Ghani
6. H. Azamathulla
7. Orazio Giustolisi

In Mechanical Engineering

1. Dragan A. Savic
2. Chun Kiat Chang
3. Nor Azazi Zakaria
4. C. S. Leow
5. Aminuddin Ab. Ghani
6. H. Azamathulla

Citations in the corpus

• A symbolic data-driven technique based on evolutionary polynomial regression (2006, methodology): “…Taranto, Italy Tel: +39 080 596 4214 E-mail: o.giustolisi@poliba.it Dragan A. Savic Centre for Water Systems, Department of Engineering, School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter EX4 4QF, UK Tel: +44 1392 263637 E-mail:…”
• Gene-Expression Programming for the Development of a Stage-Discharge Curve of the Pahang River (2011, methodology): “Keijzer and Babovic (2002) derived empirical equations using real-world hydraulic data, Giustolisi (2004) determined the Chezy resistance coefficient in corrugated channels, Kizhisseri et al. (2005) explored a better correlation between the temporal pattern of a flow field and sediment transport b”