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where F1 indicates minimization of system imbalance which is equivalent to maximizing the system utilization, and F2 indicates the maximization of throughput which is equivalent to maximizing the system efficiency.
In this work, a multi-objective optimization task (simultaneous maximization of throughput and Tumble index) of an industrial iron ore induration process has been studied to improve the operation of the process using the above-mentioned metamodeling approach.
One of the important heuristics based on the concept of essentiality ratio for maximization of throughput and minimization of system unbalance simultaneously was proposed by [Mukhopadhyay et al. (1992)].
The problem this paper aims to resolve is the maximization of throughput performance by controlling the BS assignment of public clients, the channel allocation for each BS, and the transmission power.
The loading problem in manufacturing deals with selecting a subset of jobs from a set of all the jobs to be manufactured and assigning their operations to the relevant machines in a given planning horizon with the technological constraints in order to meet certain performance measures such as minimization of system unbalance and maximization of throughput.
In this paper, an attempt has been made to address the machine loading problem with objectives of minimization of system unbalance and maximization of throughput simultaneously while satisfying the system constraints related to available machining time and tool slot designing and using a meta-hybrid heuristic technique based on genetic algorithm and particle swarm optimization.
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It can be seen that because of exploiting the maximization of the throughput in our proposed PSO-based JCCS, the average min-max throughput of the network is enhanced.
The objective function for each scheduling submodel is the maximization of product throughput.
The objective of the formulated optimization problem is the maximization of network throughput that is calculated by means of Shannon's Capacity Law.
Various objective functions were considered, including maximization of permeate throughput (overall recovery), minimization of energy consumption, and minimization of boron concentration in permeate.
Two important variants are studied in this paper: the first one concerns the maximization of the throughput for minimum places capacities of a TEG.
More suggestions(15)
maximization of speed
maximization of transfer
maximization of yield
maximization of electricity
maximization of pleasure
maximization of essence
maximization of productivity
maximization of profit
maximization of revenue
maximization of share
maximization of network
maximization of growth
maximization of utility
maximization of course
maximization of group
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