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The aims of the model include minimizing the fixed/variable cost of the machinery, maintenance and repair cost, inter-cell movement cost, maximizing the utilization of the machine, and minimizing workload variance of the different cells.
With the recent inclusion of multiple objectives such as minimizing the cost, maximizing the throughput and maximizing the reliability, the problem gets even more complex and an efficient approximate method becomes more valuable.
Communication network topology design needs to address several conflicting requirements, such as minimizing the overall network diameter, minimizing the infrastructure cost, minimizing management cost, maximizing load distribution and so on.
The paper presents a proper coordination between design variables such as initial energy and depth-of-discharge in order to minimize the network operational cost, maximizing lifetime of battery energy storage system, and smoothing wind uncertainty.
We use a gap opening penalty score of 1 and a gap extension penalty score of 0.1, such that gaps can be introduced at low cost, maximizing the detection of gene types at similar positions.
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The objectives of the problem are to minimize labor cost, maximize workload consistency and maximize flight instructor satisfaction of their assignments.
Many real world decision-making problems need to accomplish many objectives: minimize cost, maximize reliability, minimize deviations from desire levels, minimize risk, etc.
The sequence of symbols with the lowest cost maximizes the probability that said sequence was transmitted, thus producing the optimal estimate for the transmitted sequence [2, 11].
Their model's objectives were to minimize the total network cost, maximize the unit fill rate, and maximize the resource (facility) utilization subject to a host of capacity, demand, flow, and resource constraints.
However, some commercially viable methods are needed to minimize the cost, maximize the extraction of desirable lipid fractions, and reduce the coextraction contaminants.
This paper presents a novel multi-objective node placement problem that optimizes concurrently four objectives: maximizing communication coverage, minimizing the active structures' costs, maximizing of the total capacity bandwidth and minimizing the noise level in the network.
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CEO of Professional Science Editing for Scientists @ prosciediting.com