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 …

Deep uncertainties like environmental and socio-economic changes create challenges to
decision making. Decision Making under Deep Uncertainty (DMDU) methods are …

Water systems planners have long recognized the need for robust solutions capable of
withstanding deviations from the conditions for which they were designed. Robustness …

This paper introduces many objective robust decision making (MORDM). MORDM combines
concepts and methods from many objective evolutionary optimization and robust decision …

Modeling is a crucial approach for understanding the past and exploring the future of
coupled human-natural systems. However, uncertainty in various forms challenges …

Decisions continue to be important to researchers, organizations and societies. However,
decision research requires re-orientation to attain the future of data-driven decision making …

his paper provides a review of multiple criteria decision analysis (MCDA) for cases where
attribute evaluations are uncertain. The main aim is to identify different tools which can be …

There is a growing interest in model-based decision support under deep uncertainty,
reflected in a variety of approaches being put forward in the literature. A key idea shared …

While optimality is a foundational mathematical concept in water resources planning and
management,“optimal” solutions may be vulnerable to failure if deeply uncertain future …

This study introduces a new open source software framework to support bottom-up
environmental systems planning under deep uncertainty with a focus on many-objective …