Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e....
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| Vydáno v: | Environmental modelling & software : with environment data news Ročník 62; s. 271 - 299 |
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| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford
Elsevier Ltd
01.12.2014
Elsevier |
| Témata: | |
| ISSN: | 1364-8152 |
| On-line přístup: | Získat plný text |
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| Abstract | The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g. model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts. |
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| AbstractList | The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g. model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts. |
| Author | Matott, L.S. Kollat, J. Zecchin, A.C. Minsker, B.S. Ostfeld, A. Keedwell, E. Giuliani, M. Reed, P.M. Kuczera, G. Marchi, A. Cunha, M.C. Kapelan, Z. Pasha, F. Savic, D. Castelletti, A. Kasprzyk, J. Dandy, G.C. Gibbs, M.S. Solomatine, D.P. Maier, H.R. Vrugt, J.A. Barbour, E.J. |
| Author_xml | – sequence: 1 givenname: H.R. surname: Maier fullname: Maier, H.R. email: holger.maier@adelaide.edu.au organization: School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, SA 5005, Australia – sequence: 2 givenname: Z. surname: Kapelan fullname: Kapelan, Z. organization: College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, United Kingdom – sequence: 3 givenname: J. surname: Kasprzyk fullname: Kasprzyk, J. organization: Civil Environmental and Architectural Engineering Department, University of Colorado Boulder, UCB 428, Boulder, CO 80309, USA – sequence: 4 givenname: J. surname: Kollat fullname: Kollat, J. organization: DecisionVis, 315 S. Allen St., Ste 321, State College, PA 16801, USA – sequence: 5 givenname: L.S. surname: Matott fullname: Matott, L.S. organization: Center for Computational Research, University at Buffalo, Buffalo, NY 14203, USA – sequence: 6 givenname: M.C. surname: Cunha fullname: Cunha, M.C. organization: Department of Civil Engineering, University of Coimbra, Rua Luís Reis Santos – Pólo II, 3030-788 Coimbra, Portugal – sequence: 7 givenname: G.C. surname: Dandy fullname: Dandy, G.C. organization: School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, SA 5005, Australia – sequence: 8 givenname: M.S. surname: Gibbs fullname: Gibbs, M.S. organization: School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, SA 5005, Australia – sequence: 9 givenname: E. surname: Keedwell fullname: Keedwell, E. organization: College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, United Kingdom – sequence: 10 givenname: A. surname: Marchi fullname: Marchi, A. organization: School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, SA 5005, Australia – sequence: 11 givenname: A. surname: Ostfeld fullname: Ostfeld, A. organization: Civil and Environmental Engineering, Technion – Israel Institute of Technology, Haifa 32000, Israel – sequence: 12 givenname: D. surname: Savic fullname: Savic, D. organization: College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, United Kingdom – sequence: 13 givenname: D.P. surname: Solomatine fullname: Solomatine, D.P. organization: UNESCO-IHE Institute for Water Education, Delft, The Netherlands – sequence: 14 givenname: J.A. surname: Vrugt fullname: Vrugt, J.A. organization: Department of Civil and Environmental Engineering, University of California Irvine, Irvine, CA, USA – sequence: 15 givenname: A.C. surname: Zecchin fullname: Zecchin, A.C. organization: School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, SA 5005, Australia – sequence: 16 givenname: B.S. surname: Minsker fullname: Minsker, B.S. organization: Department of Civil and Environmental Engineering, 205 N. Mathews Ave., MC-250, Urbana, IL 61801, USA – sequence: 17 givenname: E.J. surname: Barbour fullname: Barbour, E.J. organization: Integrated Catchment and Management Centre, Fenner School of Environment and Society, Australian National University, Canberra, ACT 0200, Australia – sequence: 18 givenname: G. surname: Kuczera fullname: Kuczera, G. organization: School of Engineering, University of Newcastle, Callaghan, NSW 2308, Australia – sequence: 19 givenname: F. surname: Pasha fullname: Pasha, F. organization: Department of Civil and Geomatics Engineering, California State University, Fresno, CA 93740, USA – sequence: 20 givenname: A. surname: Castelletti fullname: Castelletti, A. organization: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Piazza L. da Vinci, 32, 20133 Milan, Italy – sequence: 21 givenname: M. surname: Giuliani fullname: Giuliani, M. organization: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Piazza L. da Vinci, 32, 20133 Milan, Italy – sequence: 22 givenname: P.M. surname: Reed fullname: Reed, P.M. organization: Department of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA |
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| PublicationYear | 2014 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
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| Title | Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions |
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