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The Dimensional Reduction Method is a framework that can be placed around parameter identification approaches, restricting iteration to hyperplanes where low error gradients exist, thus allowing iteration within these areas without modification of the objective surface.
The comments like centralized return center location, maximum allowable distance between customers and the initial collection point, calculation of transportation cost and finally, the modification of the objective function are suggested in this work.
Even-flow timber harvest level objectives, however, also have an effect on the results: time periods beyond the constraining time period show a build-up of timber inventory, which suggests a possible relaxation or modification of the objective in order to achieve average harvest ages that are closer to the minimum harvest age.
Note that this modification of the objective function has no direct effect on the calculation of the distribution functions since the modification never changes the relationship between the model and the distribution function in the objective function.
Since model (1 4) is an NLP problem, Charnes et al. (1983) recommended a simple modification of the objective function to linearize the problem as follows: hbox{max} z = mathop sum limits_{r = 1}^{t} u_{r0} y_{r0}, (3)s.t.t
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The objective function they presented was the penalty cost which was a modification of the objectives introduced by Carter et al. (1996) and Burke and Newall (1999).
Modifications of the objectives studied include reducing variations of the output as well as trying to follow specified trajectories.
Economic allocation of generation is further ensured by modification of the predictive control objective function.
After modification of the SSRLS models, the next objective is to select the appropriate model for impulsive noise to get the best match of the underlying environment with the presumed model of SSRLS for achieving enhanced performance of SSRLS.
Further modification of the protein will be evaluated with the objective in mind of minimizing its antigenicity and avoiding the established immune protection in immunized individuals.
Adaptive learning permits an organization to maintain its currently policies and act consistently with them; generative learning involves examination of an organization's assumption and modification of the underlying norms, policies and objectives.
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