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This can be done by developing an optimization framework for the process.
In this work we extend the concept of reallocation and upgrade by developing an optimization based strategy to perform audit of a sensor network.
In order to decrease the information loss caused by single cutoff value and improve diagnosis efficiency (DE), we explore the integrative application of multiple tumor markers with multiple cutoff values systematically by developing an optimization algorithm named MVMTM.
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When environmental MOMA was used for which the non-limited and N-limited culture phases interact, the implementation of these objective functions consisted in developing an optimization algorithm by first maximizing the growth rate under non-limited conditions, and then searching the solution space thus delimited using the above mentioned objective functions.
VMs and hosts can be selected for migration by developing a mathematical optimization model.
In this work we evaluate the effect of weather and cooling towers location on its size and monthly operation by developing a multiperiod optimization formulation aiming at minimum water consumption.
Second, by developing a novel convex optimization method, improved criteria are derived.
The proposed framework could help both residents and policy makers in several ways by developing a multi-objective optimization model in the future study: (i) minimize the government budget; (ii) maximize the resident's benefit; (iii) determine an optimal solar incentive design which can satisfy both residents and policy makers.
The objectives were accomplished by developing an on-line algorithm that worked with the optimization algorithms.
This paper describes an attempt to address this challenge by developing a methodology using mathematical optimization and SD indicators.
In this paper, the procedure of drawbead design is divided into two stages: firstly, equivalent drawbead restraining forces (DBRF) are obtained by developing a multiobjective robust particle swarm optimization, and secondly the DBRF model is integrated into a single-objective particle swarm optimization (PSO) to optimize geometric parameters of drawbead.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com