Can modern multi-objective evolutionary algorithms discover high-dimensional financial risk portfolio tradeoffs for snow-dominated water-energy systems?

•Benchmarking multi-objective financial risk portfolios for snow-driven hydropower.•Self-adaptive search can more effectively capture complex financial risk tradeoffs.•Decomposition and reference point algorithms deteriorate and misrepresent tradeoffs. Hydropower generation in the Hetch Hetchy Power...

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Bibliographic Details
Published in:	Advances in water resources Vol. 145; p. 103718
Main Authors:	Gupta, Rohini S., Hamilton, Andrew L., Reed, Patrick M., Characklis, Gregory W.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2020
Subjects:	Algorithm benchmarking algorithms diagnostic techniques Direct policy search Evolutionary algorithms Financial risk management geometry Hydropower issues and policy Many objective optimization mountains risk risk reduction snowmelt snowpack water water power Many objective optimization Hydropower Financial risk management Evolutionary algorithms Direct policy search Algorithm benchmarking
ISSN:	0309-1708, 1872-9657
Online Access:	Get full text
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