Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming
ACM Transactions on Mathematical Software (TOMS)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Management Decision Systems: Computer-Based Support for Decision Making
Management Decision Systems: Computer-Based Support for Decision Making
Multiobjective Genetic Algorithms for Pump Scheduling in Water Supply
Selected Papers from AISB Workshop on Evolutionary Computing
Model-driven decision support systems: Concepts and research directions
Decision Support Systems
Environmental Modelling & Software
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Environmental Modelling & Software
Environmental Modelling & Software
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A generic framework for regression regionalization in ungauged catchments
Environmental Modelling & Software
Environmental Modelling & Software
Automatic generation of water distribution systems based on GIS data
Environmental Modelling & Software
Environmental Modelling & Software
Economic and environmental assessment of irrigation water policies: A bioeconomic simulation study
Environmental Modelling & Software
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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.