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Due to the connectivity of high density sensor nodes and the coverage area of target nodes, the randomly given coverage area is reconstructed through limiting the maximum amount of distortion of randomly covered area in a certain range in order to maximize the life cycle of the network and solve the optimization problem better.
In this research, a model-based optimal design method using genetic algorithm is developed to optimize the capacity of active CTES for maximizing the life-cycle cost saving including capital cost associated with storage capacity as well as incentives from both fast DR and PLM.
In previous study (Chen and Reynolds, 2016), we proposed an algorithm to optimize the well controls which maximize the life-cycle net-present-value (NPV).
We introduce a new methodology for the estimation of the location of horizontal and vertical wells that maximizes the life-cycle net-present-value (NPV) of production from a given reservoir.
A new well-placement optimization algorithm for the estimation of the trajectory of directional wells is introduced to maximize the life-cycle net-present-value (NPV) of production from a reservoir.
Two objective functions are proposed: the first one is the PV module output power which is to be maximized and the second one is the life cycle cost (LCC) which is to be minimized.
Understanding range shifts in rare species has the potential to inform conservation biology; e.g. exposing weaknesses in the life cycle (Simpson et al., 2005) could reveal where to maximize effort for population persistence in actively translocated endangered species.
The life cycle is complex.
You feel the life cycle of nature".
However, I prefer reversing the life cycle.
The life cycle is like a machine.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com