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Current studies on facility location models commonly overlook multiple optimal criteria from an urban planning perspective and are not suited to planning earthquake evacuation shelters.
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They were then compared to the optimal design results calculated, using multiple optimality criteria, constant measurement errors and the error of the initial rough parameter estimates.
In the next step, optimal/near-optimal sequences are generated using a genetic algorithm (GA) which prunes the initial feasible sequences using multiple optimality criteria with respect to feature adjacency, datum/reference features and preference in processing the features.
Multiple optimal configurations are shown to exist.
Thus there can be multiple optimal policies for a POMDPIP.
Multiple optimal solutions.
In fact, there may be multiple optimal solutions and solutions which are near optimal.
On the other hand, multiple optimal solutions maybe occur.
We plotted the optimal criterion on the GAM model.
To find designs which are efficient for both model discrimination and parameter estimation, Zen and Tsai (some criterion-robust optimal designs for the dual problem of model discrimination and parameter estimation, Indian J. Statist. 64, 322 338) proposed a multiple-objective optimality criterion for polynomial regression models.
In practice, it is important to find optimal allocation strategies for continuous response with multiple treatments under some optimization criteria.
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CEO of Professional Science Editing for Scientists @ prosciediting.com