Computer Engineering Commons^™

Using Multi-Objective Optimization To Support Urban Planning, Jonas Schwaab, Kalyanmoy Deb, Erik Goodman, Sven Lautenbach, Maarten Van Strien, Adrienne Grêt-Regamey

International Congress on Environmental Modelling and Software

Globally urban growth destroys fertile soils and endangers food security. Fertile soils are often located in the vicinity of existing urban areas. Thus, preserving high-quality soils often conflicts with the objective of compact city development. Urban planners have to account for both of these and many other objectives and react to political decisions which put a higher weight on some of them. In addition, urban planners have to deal with uncertain projections on population growth and the demand for housing. We used a multi-objective evolutionary algorithm to show for a case study region in Switzerland how robust urban growth patterns …

The Stability And Ecophysiological Realism Of Calibrated Parameters In A Detailed Vegetation Model (Waves), R. W. Vervoort, J. D. Henry, M. Gharun, M. A. Adams

International Congress on Environmental Modelling and Software

WAVES is a daily time-step one-dimensional vegetation, water and energy transfer model that has been used extensively across Australia (and globally) to simulate ecohydrological processes. In particular it has been used extensively for assessing future recharge under climate change. A literature review suggests parameter values from the user manual are most commonly used in research. This suggests that further investigation into the stability and equifinality of the parameters might be warranted, specifically since the model is used for scenario studies. This study made use of an extensive sapflow and soil moisture data set for 7 tree vegetation sites in the …

Using Scenario Analysis To Investigate Uncertainty In Water Resource Management, Baihua Fu, Joseph Guillaume, Mike Asher, Tony Jakeman

International Congress on Environmental Modelling and Software

Water resource management is a challenging task due to the complexity and uncertainty of the environmental systems and challenges of addressing multiple stakeholder perspectives. A crucial issue is therefore in specifically understanding if and how we can make decisions under such deep uncertainty.

We examined this issue in a case study which estimates groundwater sustainability, farm profit and ecological outcomes of many drivers (e.g. climate change, water policy, farm practices). An integrated model was developed for this purpose. It encompasses a surface and groundwater model, water allocation rules, a farm decision and crop model and an ecology model. Scenarios were …

An Interval-Based Contingency Selection Approach Considering Uncertainty, Chao Xu, Wei Gu, Lizi Luo, Jianguo Yao, Shengchun Yang, Ke Wang, Dan Zeng, Miao Fan

Turkish Journal of Electrical Engineering and Computer Sciences

Static security assessment is affected by uncertainties of load flow distributions introduced by renewable sources. A fast contingency selection approach based on interval theory is proposed in this paper. Firstly, an interval line active flow calculation algorithm is developed to reduce conservation in application of interval mathematics in line flow calculation. Then a novel interval comparison method based on Bayesian probability theory is applied in interval index comparison to give the relative severity information of contingencies. Finally, an approximately consistent ranking method is utilized in contingency ranking to rank screened contingencies. Numerical studies on several IEEE standard test systems and …

The Role Of Uncertainty In Categorical Perception Utilizing Statistical Learning In Robots, Nathaniel V. Powell

Graduate College Dissertations and Theses

At the heart of statistical learning lies the concept of uncertainty.

Similarly, embodied agents such as robots

and animals must likewise address uncertainty, as sensation

is always only a partial reflection of reality. This

thesis addresses the role that uncertainty can play in

a central building block of intelligence: categorization.

Cognitive agents are able to perform tasks like categorical perception

through physical interaction (active categorical perception; ACP),

or passively at a distance (distal categorical perception; DCP).

It is possible that the former scaffolds the learning of

the latter. However, it is unclear whether DCP indeed scaffolds

ACP in humans and …