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This investigation is performed to study nonredundant linear sensor network design problems that simultaneously optimize three objectives, namely cost, precision and reliability.
Previous research has focused mainly on cell formation problems and their variants; however, only few articles have focused on more practical and complicated problems that simultaneously consider the three critical issues in the CMS-design process, i.e., cell formation, cell layout, and intracellular machine sequence.
In this respect, the observed metabolic changes in insomnia may stem from genetic problems that simultaneously affect the brain and pancreatic circadian clock.
Undergraduate educational settings struggle to provide biologically or medically relevant situations and problems that simultaneously improve students' understanding of physics.
Undergraduate educational settings often struggle to provide students with authentic biologically or medically relevant situations and problems that simultaneously improve their understanding of physics.
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We formulate a mixed-integer-linear-programming (MILP) transportation problem that simultaneously optimizes for heat exchanger units, heat exchange area and loads on each utility.
A winner determination problem that simultaneously accommodates bidding languages of both bid set construction techniques is used to generate an optimal capacity allocation among bidders based on different bidding strategies.
As opposed to other approaches that optimize the expected performance of the system as a single objective, in our method the design task is formulated as a stochastic bi-criteria non-linear optimization problem that simultaneously accounts for the minimization of the expected total cost and the financial risk associated with the investment.
This study first formulates a multi-objective optimization problem that simultaneously considers the resilience effects and minimum set of manipulated enzymes by combining the concepts of MOMA and ROOM into an optimization framework.
To capture these dynamic features, a dynamic vehicle routing problem (DVRP) that simultaneously considers new customer orders and order cancellations is investigated in this study.
This paper introduces a new dynamic green bike repositioning problem (DGBRP) that simultaneously minimizes the total unmet demand of the bike-sharing system and the fuel and CO2 emission cost of the repositioning vehicle over an operational period.
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