The tradeoff of effectiveness and cost is a vital problem for complex industrial systems, mainly applied in the weapons aviation fields. As typical system, effectiveness-cost satellites becomes challenging interesting. This paper takes remote sensing satellite as research object, an integrated approach to assess optimize its proposed. characteristic parameters are selected according analysis st...

The operation of many classical and quantum systems in nonequilibrium steady state is constrained by cost-precision (dissipation-fluctuation) tradeoff relations, delineated the thermodynamic uncertainty relation (TUR). However, coherent electronic nanojunctions can escape such a constraint, showing finite charge current nonzero entropic cost with vanishing fluctuations. Here, we analyze absence...

In many applications, particularly power-constrained sensor networks, it is important to conserve the amount of data exchanged while maximizing the utility of that data for some inference task. Broadly, this tradeoff has two major cost components—the representation’s size (in distributed networks, the communications cost) and the error incurred by its use (the inference cost). We analyze this t...

The privacy-utility tradeoff problem is formulated as determining the privacy mechanism (random mapping) that minimizes the mutual information (a metric for privacy leakage) between the private features of the original dataset and a released version. The minimization is studied with two types of constraints on the distortion between the public features and the released version of the dataset: (...

The Shortest Common Supersequence problem is a hard combinatorial optimization problem with numerous practical applications. We consider the use of memetic algorithms (MAs) for solving this problem. A specialized local-improvement operator based on character removal and heuristic repairing plays a central role in the MA. The tradeoff between the improvement achieved by this operator and its com...

A multiobjective optimization model integrating with high-resolution geographical data was applied to examine the optimal switchgrass supply system in Tennessee that considers both feedstock cost and greenhouse gas (GHG) emissions in the system. Results suggest that the type of land converted into switchgrass production is crucial to both plant gate cost and GHG emissions of feedstock. In addit...

The COVID-19 pandemic outbreak deeply impressed supply chains in different aspects. In response to this unexpected situation, chain managers have decided recover and reinforce their chains. Considering the expanse of these decisions, project management principle tools seems inevitable successfully manage transformation from before post-pandemic (SCs). study, problem time–cost tradeoff is extend...

It is of interest to understand the tradeoff between the communication resource comsumption and the achievable system performance in networked control systems. In this paper we explore a general framework for tradeoff analysis and decision making in such systems by studying joint quantization, estimation, and control of a hidden Markov chain. Dynamic programming is used to find the optimal quan...