Paper Info
Title
Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in.
Abstract
Although formal simulation-optimization approaches have been shown to be able to identify near-optimal outcomes for a range of stormwater management problems, stakeholder acceptance of these solutions can be problematic, especially if there is a lack of familiarity with the optimization processes and simulation model used to arrive at these solutions. To address this problem, a portfolio optimization problem formulation is introduced that allows stormwater best management practices (BMPs) to be evaluated by stakeholders before the portfolio selection process. This enables the search space to be constrained before the BMP optimization process, ensuring that model results are transparent and only represent solutions that are trusted by experienced practitioners. This has the effect of reducing reliance on simulation-optimization involving complex stormwater simulation models, and increasing buy-in to the optimization results. The portfolio optimization formulation is applied to a catchment management problem in Australia, using a typical many-objective optimization approach including visualization techniques.
Year
DOI
Venue
2019
10.1016/j.envsoft.2018.09.008
Environmental Modelling & Software
Keywords
Field
DocType
Stormwater management,Water sensitive urban design,Portfolio optimization,Many-objective optimization,Visual analytics,Multi-criteria decision analysis
Best practice,Stakeholder,Computer science,Stormwater,Operations research,Simulation modeling,Portfolio,Portfolio optimization,Decision maker,Management science,Creative visualization
Journal
Volume
ISSN
Citations 
111
1364-8152
1
PageRank 
References 
Authors
0.35
11
3
Name
Order
Citations
PageRank
Michael Di Matteo110.35
Holger R. Maier273872.97
Graeme C. Dandy344147.01