Formalizing best practice for energy system optimization modelling
Energy system optimization models (ESOMs) are widely used to generate insight that
informs energy and environmental policy. Using ESOMs to produce policy-relevant insight …
informs energy and environmental policy. Using ESOMs to produce policy-relevant insight …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
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 …
for the optimisation of water resources systems has been an active research field for over …
The future of water resources systems analysis: Toward a scientific framework for sustainable water management
This paper presents a short history of water resources systems analysis from its beginnings
in the Harvard Water Program, through its continuing evolution toward a general field of …
in the Harvard Water Program, through its continuing evolution toward a general field of …
Many objective robust decision making for complex environmental systems undergoing change
This paper introduces many objective robust decision making (MORDM). MORDM combines
concepts and methods from many objective evolutionary optimization and robust decision …
concepts and methods from many objective evolutionary optimization and robust decision …
Evolutionary multiobjective optimization in water resources: The past, present, and future
This study contributes a rigorous diagnostic assessment of state-of-the-art multiobjective
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
The flow-refueling location problem for alternative-fuel vehicles
M Kuby, S Lim - Socio-Economic Planning Sciences, 2005 - Elsevier
Beginning with Hodgson (Geogr. Anal. 22 (1990) 270), several researchers have been
developing a new kind of location-allocation model for “flow capturing.” Instead of locating …
developing a new kind of location-allocation model for “flow capturing.” Instead of locating …
Curses, tradeoffs, and scalable management: Advancing evolutionary multiobjective direct policy search to improve water reservoir operations
Optimal management policies for water reservoir operation are generally designed via
stochastic dynamic programming (SDP). Yet, the adoption of SDP in complex real-world …
stochastic dynamic programming (SDP). Yet, the adoption of SDP in complex real-world …
The use of scenarios in land-use planning
Land-development scenarios as a means of representing the future have been in the
planner's toolkit for several decades. In this paper we provide a systematic view of four basic …
planner's toolkit for several decades. In this paper we provide a systematic view of four basic …
[HTML][HTML] An open source framework for many-objective robust decision making
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 …
environmental systems planning under deep uncertainty with a focus on many-objective …
Spatial optimization as a generative technique for sustainable multiobjective land‐use allocation
A Ligmann‐Zielinska, RL Church… - International Journal of …, 2008 - Taylor & Francis
In this paper, we examine the applicability of spatial optimization as a generative modelling
technique for sustainable land‐use allocation. Specifically, we test whether spatial …
technique for sustainable land‐use allocation. Specifically, we test whether spatial …