Wind turbine selection for wind farm layout using multi-objective evolutionary algorithms
Wind energy has become the world's fastest growing energy source. Although wind farm
layout is a well known problem, its solution used to be heuristic, mainly based on the …
layout is a well known problem, its solution used to be heuristic, mainly based on the …
Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: A scheme for critical infrastructure protection
The modern intelligent transportation system opts for accident prediction modules as a
critical aspect for road safety. Where, an accident is predicted before it actually happens and …
critical aspect for road safety. Where, an accident is predicted before it actually happens and …
Profiling drivers based on driver dependent vehicle driving features
This work addresses the problem of profiling drivers based on their driving features. A
purpose-built hardware integrated with a software tool is used to record data from multiple …
purpose-built hardware integrated with a software tool is used to record data from multiple …
Modeling ethical and operational preferences in automated driving systems
Whereas automated driving technology has made tremendous gains in the last decade,
significant questions remain regarding its integration into society. Given its revolutionary …
significant questions remain regarding its integration into society. Given its revolutionary …
[PDF][PDF] Visualizing solution sets in multiobjective optimization
T Tušar - PhD diss, 2014 - Citeseer
Many real-world optimization problems are inherently multiobjective, for example, searching
for trade-off solutions of high quality and low cost. As no single optimal solution exists for …
for trade-off solutions of high quality and low cost. As no single optimal solution exists for …
A real-time multiobjective optimization algorithm for discovering driving strategies
Vehicle driving consists of selecting and applying the best control actions in real time to
optimize several objectives such as the traveling time and the fuel consumption. Because …
optimize several objectives such as the traveling time and the fuel consumption. Because …
The assessment of evolutionary algorithms for analyzing the positional accuracy and uncertainty of maps
Pre-geodetic maps are an important part of our cultural heritage and a potential source of
information for historical studies. Historical cartography should be evaluated in terms of …
information for historical studies. Historical cartography should be evaluated in terms of …
Optimal design methods for a digital human-computer interface based on human reliability in a nuclear power plant: Part 2: The optimization design method for …
J Jiang, L Zhang, T **e, D Wu, M Li, Y Wang… - Annals of Nuclear …, 2017 - Elsevier
This is the second in a series of papers describing the optimal design method for a digital
human-computer interface of nuclear power plant (Npp) from three different points based on …
human-computer interface of nuclear power plant (Npp) from three different points based on …
Multiobjective discovery of human-like driving strategies
Human driving models aim at producing human-like driving strategies by mimicking the
behavior of drivers. Drivers optimize several objectives when traveling along a route, such …
behavior of drivers. Drivers optimize several objectives when traveling along a route, such …
[PDF][PDF] Multiobjective gear shifting optimization considering a known driving cycle
The reduction of the fuel consumption of the vehicles driven by combustion engines is a
target of the automakers, governments and drivers. The literature asserts that the adjustment …
target of the automakers, governments and drivers. The literature asserts that the adjustment …