A DSS generator for multiobjective optimisation of spreadsheet-based models

被引:85
作者
Savic, Dragan A. [1 ]
Bicik, Josef [1 ]
Morley, Mark S. [1 ]
机构
[1] Univ Exeter, Ctr Water Syst, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England
基金
英国工程与自然科学研究理事会;
关键词
Decision support systems; Multiobjective; Optimization; Evolutionary algorithms; Pareto solutions; Spreadsheet models; Water management; DECISION-SUPPORT-SYSTEM; ANT COLONY OPTIMIZATION; WATER-RESOURCES; DESIGN; ALGORITHMS; OPERATION; FRAMEWORK; TOOLS;
D O I
10.1016/j.envsoft.2010.11.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Water management practice has benefited from the development of model-driven Decision Support Systems (DSS), and in particular those that combine simulation with single or multiple-objective optimisation tools. However, there are many performance, acceptance and adoption problems with these decision support tools caused mainly by misunderstandings between the communities of system developers and users. This paper presents a general-purpose decision-support system generator, GANetXL, for developing specific applications that require multiobjective optimisation of spreadsheet-based models. The system is developed as an Excel add-in that provides easy access to evolutionary multiobjective optimisation algorithms to non-specialists by incorporating an intuitive interactive graphical user interface that allows easy creation of specific decision-support applications. GANetXL's utility is demonstrated on two examples from water engineering practice, a simple water supply reservoir operation model with two objectives and a large combinatorial optimisation problem of pump scheduling in water distribution systems. The two examples show how GANetXL goes a long way toward closing the gap between the achievements in optimisation technology and the successful use of DSS in practice. (c) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:551 / 561
页数:11
相关论文
共 48 条
[1]  
Abbott M.B., 1991, HYDROINFORMATICS INF
[2]  
[Anonymous], 10 NAT C TECHN TREND
[3]  
[Anonymous], 2009, PROC WORLD ENV WATER, DOI DOI 10.1061/41036(342)38
[4]   Use of multiobjective particle swarm optimization in water resources management [J].
Baltar, Alexandre M. ;
Fontane, Darrell G. .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2008, 134 (03) :257-265
[5]   Neutral Search Technique for Short-Term Pump Schedule Optimization [J].
Bene, Jozsef Gergely ;
Selek, Istvan ;
Hos, Csaba .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2010, 136 (01) :133-137
[6]   Integration of MONERIS and GREAT-ER in the decision support system for the German Elbe river basin [J].
Berlekamp, Juergen ;
Lautenbach, Sven ;
Graf, Neil ;
Reimer, Silke ;
Matthies, Michael .
ENVIRONMENTAL MODELLING & SOFTWARE, 2007, 22 (02) :239-247
[7]  
BICIK J, 2008, P 10 ANN WAT DISTR S, P472
[8]  
Biscos C, 2003, WATER SA, V29, P393
[9]   Exploring the gap between water managers and researchers: Difficulties of model-based tools to support practical water management [J].
Borowski, Ilke ;
Hare, Matt .
WATER RESOURCES MANAGEMENT, 2007, 21 (07) :1049-1074
[10]   Web-based GIS and spatial decision support system for watershed management [J].
Choi, JY ;
Engel, BA ;
Farnsworth, RL .
JOURNAL OF HYDROINFORMATICS, 2005, 7 (03) :165-174