Speed of discrete optimization solvers for real time sewer control

References

• Bonami , P. 2012 . Basic Open-source Nonlinear Mixed INteger programming (BONMIN) , Towson, MD : COIN-OR Foundation .
   Google Scholar
• Breur , K.J. , van Leeuwen , P.E.R.M. and Dellaert , N.P. 1997 . Deriving discharge strategies to reduce CSO in urban drainage systems . Water Science and Technology , 36 ( 8–9 ) : 259 – 263 .
   Web of Science ®Google Scholar
• Brueck , T.M. , Peterson , D.F. and Nye , J.A. 1982 . Computer-based implementation of combined sewer control . Journal of the Water Pollution Control Federation , 52 ( 2 ) : 198 – 205 .
   Google Scholar
• Campisano , A. , Schilling , W. and Modica , C. 2000 . Regulators' setup with application to the Roma–Cecchignola combined sewer system . Urban Water , 2 ( 3 ) : 235 – 242 .
   Google Scholar
• Currie , J. and Wilson , D.I. 2012 . “ OPTI: lowering the barrier between open source optimizers and the industrial MATLAB user ” . In Foundations of Computer-Aided Process Operations , Edited by: Sahinidis , N. and Pinto , J. Savannah, GA : CACHE Corporation . http://focapo.cheme.cmu.edu/2012/proceedings
   Google Scholar
• Goldfarb , D. and Liu , S. 1990 . An o(n 3 l) primal interior point algorithm for convex quadratic programming . Mathematical programming , 49 ( 3 ) : 325 – 340 .
   Web of Science ®Google Scholar
• Hall , J. 2012 . COIN-OR Linear Programming (CLP) , Towson, MD : COIN-OR Foundation .
   Google Scholar
• Hemmecke , R. 2010 . Nonlinear integer programming , 561 – 618 . Berlin : Springer .
   Google Scholar
• Karlof , J.K. , ed. 2006 . Integer programming: theory and practice , Boca Raton, FL : Taylor & Francis .
   Google Scholar
• Lee , J. and Leyffer , S. , eds. 2012 . Mixed integer nonlinear programming , The IMA volumes in mathematics and its applications 154 New York : Springer .
   Google Scholar
• Li , D. and Sun , X. 2006 . Nonlinear integer programming , International series in operations research & management science 84 New York : Springer Science+Business Media LLC .
   Google Scholar
• Marinaki , M. and Papageorgiou , M. 2005 . Optimal real-time control of sewer networks , Advances in industrial control XVIII London : Springer .
   Google Scholar
• Marsalek , J. 1998 . “ Challenges in urban drainage ” . In Hydroinformatics tools for planning, design, operation, and rehabilitation of sewer systems , Edited by: Marsalek , J. , Maksimovic , C. and Zeman , E. Dordrecht, The Netherlands : Kluwer Academic Publishers .
   Google Scholar
• Marsalek , J. 1993 . Urban drainage systems: design and operation . Water science & technology , 27 ( 12 ) : 31 – 70 .
   Web of Science ®Google Scholar
• Neumaier , A. and Shcherbina , O. 2004 . Safe bounds in linear and mixed-integer linear programming . Mathematical programming, series A , 99 ( 2 ) : 283 – 296 .
   Web of Science ®Google Scholar
• Nowak , I. 2005 . Relaxation and decomposition methods for mixed integer nonlinear programming , International series of numerical mathematics 152 Basel : Birkhäuser Verlag .
   Google Scholar
• Ocampo-Martinez , C. 2010 . Model predictive control of wastewater systems , Advances in industrial control XXX London : Springer .
   Google Scholar
• Puig , V. 2009 . Predictive optimal control of sewer networks using CORAL tool: application to Riera Blanca catchment in Barcelona . Water science and technology , 60 ( 4 ) : 869 – 878 .
   PubMed Web of Science ®Google Scholar
• Schilling , W. 1996 . Real time control of wastewater systems . Journal of hydraulic research , 34 ( 6 ) : 785 – 797 .
   Web of Science ®Google Scholar
• Schütze , M. 2004 . Real time control of urban wastewater systems—where do we stand today? . Journal of hydrology , 299 ( 3–4 ) : 335 – 348 .
   Web of Science ®Google Scholar
• Schütze , M. 2008 . Sewer system real-time control supported by the M180 guideline document . Urban water journal , 5 ( 1 ) : 69 – 78 .
   Web of Science ®Google Scholar
• Thulasiraman , K. and Swamy , M.N.S. 1992 . Graphs: theory and algorithms , New York : Wiley-Interscience .
   Google Scholar
• van Leeuwen , P.E.R.M. 2003 . Sturing van Watersystemen [in Dutch] , Delft, The Netherlands : Delft University Press Science .
   Google Scholar
• van Nooijen , R. 2011a . “ Implementation of central control for multiple sewer systems ” . In Proceedings of the 12th international conference on urban drainage , Porto Alegre/RS–Brazil : Brazilian Water Resources Association in cooperation with IWA and IAHR . 10–15 September 2011
   Google Scholar
• van Nooijen , R.R.P. 2011b . “ Agile design of sewer system control ” . In Proceedings of the 18th IFAC world congress , Edited by: Bittanti , S. , Cenedese , A. and Zampieri , S. Laxenburg, Austria : International Federation of Automatic Control . 28 August–2 September 2011, Milano, Italy
   Google Scholar
• van Nooijen , R. , Kolechkina , A. and Campisano , A. 2012 . “ Stability of digital discrete time controllers for water systems ” . In Managing resources of a limited planet: pathways and visions under uncertainty, 6th international congress on environmental modelling and software (iEMSs) , Leipzig, Germany. Switzerland : International Environmental Modelling and Software Society . 1–5 July 2012
   Google Scholar
• Volkovich , O.V. , Roshchin , V.A. and Sergienko , I.V. 1987 . Models and methods of solution of quadratic integer programming problems . Cybernetics and systems analysis , 23 ( 3 ) : 289 – 305 .
   Google Scholar