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This paper presents a hybrid optimization method for optimizing the process parameters during plastic injection molding (PIM).
In (Ghatasheh et al. 2015), a firefly algorithm is proposed as a metaheuristic optimization method for optimizing the parameters of three COCOMO-based models.
In particular, we propose a numerical method for optimizing the design of the cam profile using a Bézier ordinate as an optimization parameter.
However, no method for optimizing the power allocation is given.
We present a variational method for optimizing the wave shape of a peristaltic pump.
This work describes a method for optimizing the mesostructure of lattice-structured materials.
The application of this analysis method for optimizing the extrusion process of flaxseeds is discussed.
Deronne et al. proposed a method for optimizing the slot time value of RoF-based WLANs [10].
Moreover, Algorithm 1, which is illustrated in Section 4, provides an iterative method for optimizing the parameters in (11).
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One of the valuable methods for optimizing the several responses has to utilize the simultaneous optimization technique developed by Derringer and Suich (1980) which contains the concept of desirability functions.
The genetic algorithm is a nonlinear global optimization method that can be used with other methods for optimizing the approach.
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