Hybrid Cyclicity: Combining The Benefits Of Cyclic And Non-Cyclic Timetables

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In water supply systems, the potential exists for micro-hydropower that uses the pressure excess in the networks to produce electricity. However, because urban drinking water networks are complex systems in which flows and pressure vary constantly, identif ...

The performance of evolutionary algorithms can be heavily undermined when constraints limit the feasible areas of the search space. For instance, while Covariance Matrix Adapta- tion Evolution Strategy is one of the most efficient algorithms for unconstrai ...

A decision-support tool (ORES) in the form of a linear program is developed to determine the optimal investment and operating decisions for residential energy systems. It shows how energy conversion units such as a cogeneration fuel cell, a heat pump, a bo ...

Integration of non-dispatchable renewable energy sources such as wind and solar into the grid is challenging due to the stochastic nature of energy sources. Hence, electrical hubs (EH) and virtual power plants that combine non-dispatchable energy sources, ...

We propose a novel approach to automated delineation of linear structures that form complex and potentially loopy networks. This is in contrast to earlier approaches that usually assume a tree topology for the networks. At the heart of our method is an Int ...

Hybrid Cyclicity: Combining The Benefits Of Cyclic And Non-Cyclic Timetables

Chattez avec Graph Search

Impacts of global warming on energy use for heating and cooling with full rebound effects in Switzerland

Simulated Annealing in Optimization of Energy Production in a Water Supply Network

Memetic Viability Evolution for Constrained Optimization

A linear programming approach to the optimization of residential energy systems

Design optimization of electrical hubs using hybrid evolutionary algorithm

Reconstructing Loopy Curvilinear Structures Using Integer Programming