In order to successfully calibrate an urban drainage model, multiple calibration criteria should be considered. This raises the issue of adopting a method for comparing different solutions (parameter sets) according to a set of objectives. Amongst the global optimization techniques that have blossomed in recent years, Multi Objective Genetic Algorithms (MOGA) have proved effective in numerous engineering applications, including sewer network modelling. Most of the techniques rely on the condition of Pareto efficiency to compare different solutions. However, as the number of criteria increases, the ratio of Pareto optimal to feasible solutions increases as well. The pitfalls are twofold: the efficiency of the genetic algorithm search worsens and decision makers are presented with an overwhelming number of equally optimal solutions. This paper proposes a new MOGA, the Preference Ordering Genetic Algorithm, which alleviates the drawbacks of conventional Pareto-based methods. The efficacy of the algorithm is demonstrated on the calibration of a physically-based, distributed sewer network model and the results are compared with those obtained by NSGA-II, a widely used MOGA.
Skip Nav Destination
Article navigation
Research Article|
September 01 2005
Automatic calibration of urban drainage model using a novel multi-objective genetic algorithm
F. di Pierro;
1School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter, EX4 4QF, United Kingdom, (E-mail: S.Djordjevic@exeter.ac.uk; Z.Kapelan@exeter.ac.uk; S.T.Khu@exeter.ac.uk; D.Savic@exeter.ac.uk; G.A.Walters@exeter.ac.uk)
E-mail: F.di-Pierro@exeter.ac.uk
Search for other works by this author on:
S. Djordjević;
S. Djordjević
1School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter, EX4 4QF, United Kingdom, (E-mail: S.Djordjevic@exeter.ac.uk; Z.Kapelan@exeter.ac.uk; S.T.Khu@exeter.ac.uk; D.Savic@exeter.ac.uk; G.A.Walters@exeter.ac.uk)
Search for other works by this author on:
Z. Kapelan;
Z. Kapelan
1School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter, EX4 4QF, United Kingdom, (E-mail: S.Djordjevic@exeter.ac.uk; Z.Kapelan@exeter.ac.uk; S.T.Khu@exeter.ac.uk; D.Savic@exeter.ac.uk; G.A.Walters@exeter.ac.uk)
Search for other works by this author on:
S.-T. Khu;
S.-T. Khu
1School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter, EX4 4QF, United Kingdom, (E-mail: S.Djordjevic@exeter.ac.uk; Z.Kapelan@exeter.ac.uk; S.T.Khu@exeter.ac.uk; D.Savic@exeter.ac.uk; G.A.Walters@exeter.ac.uk)
Search for other works by this author on:
D. Savić;
D. Savić
1School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter, EX4 4QF, United Kingdom, (E-mail: S.Djordjevic@exeter.ac.uk; Z.Kapelan@exeter.ac.uk; S.T.Khu@exeter.ac.uk; D.Savic@exeter.ac.uk; G.A.Walters@exeter.ac.uk)
Search for other works by this author on:
G.A. Walters
G.A. Walters
1School of Engineering, Computer Science and Mathematics, University of Exeter, North Park Road, Exeter, EX4 4QF, United Kingdom, (E-mail: S.Djordjevic@exeter.ac.uk; Z.Kapelan@exeter.ac.uk; S.T.Khu@exeter.ac.uk; D.Savic@exeter.ac.uk; G.A.Walters@exeter.ac.uk)
Search for other works by this author on:
Water Sci Technol (2005) 52 (5): 43–52.
Citation
F. di Pierro, S. Djordjević, Z. Kapelan, S.-T. Khu, D. Savić, G.A. Walters; Automatic calibration of urban drainage model using a novel multi-objective genetic algorithm. Water Sci Technol 1 September 2005; 52 (5): 43–52. doi: https://doi.org/10.2166/wst.2005.0105
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.
eBook
Pay-Per-View Access
$38.00