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Many approaches used for spatially allocating crops are based on principles of economic optimization (e.g., farmers or plant owner's profitability) such as; agent based modelling [34], linear optimization modelling [35, 36], or Marchov chain modelling [37].
We argue optimization modelling constrained by global targets but not informed by data on feasibility, while a relevant conceptual tool, is less operationally applicable in low capacity and high uncertainty settings.
This second workshop on Computational Optimization, Modelling and Simulation (COMS 2011) at ICCS 2011 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry.
This workshop on Computational Optimization, Modelling and Simulation (COMS 2010) at ICCS 2010 will summarize the latest developments of optimization and modelling and their applications in science, engineering and industry.
This third workshop on Computational Optimization, Modelling and Simulation (COMS 2012) at ICCS 2012 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry.
This 5th workshop on Computational Optimization, Modelling and Simulation (COMS 2014) at ICCS 2014 will summarize the latest developments of optimization and modelling and their applications in science, engineering and industry.
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Thus, a more dynamic optimization model was employed to appropriately optimize the MLMDT performance.
This combined optimization model can be solved via commercial optimization tools to achieve optimal results.
But you probably do want to double-check your logic using fancier optimization models.
Simulation-based optimization model.
to improve the optimization model.
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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