نتایج جستجو برای: multiple objective programming mop

تعداد نتایج: 1554194  

Journal: :INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 2020

Journal: :Rel. Eng. & Sys. Safety 2004
Sebastián Martorell Ana Sánchez Sofía Carlos Vicente Serradell

Safety ðSÞ improvement of industrial installations leans on the optimal allocation of designs that use more reliable equipment and testing and maintenance activities to assure a high level of reliability, availability and maintainability (RAM) for their safety-related systems. However, this also requires assigning a certain amount of resources ðCÞ that are usually limited. Therefore, the decisi...

A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. For dealing with this difficulty and assessing all the DMUs on the sam...

Journal: :Frontiers in chemical engineering 2022

The improvement of water and energy use in the industrial sector is an important concern to improve overall techno-economic performance single plants. most recent EU strategy for system integration has been treating these issues redaction its first pillar, which based on relations between promotion circular economy efficiency it as specific objectives waste heat recovery from wastewater. Althou...

2008
Kristin Yvonne Rozier

We describe a runtime verification approach to increase the safety of IVHM systems by an integration of TEAMS models and MOP (Monitor-Oriented Programming). The TEAMS model is used to automatically extract relevant runtime information from the controlled system by means of events. This information is passed on-line to the MOP engine, allowing to verify complex temporal properties and to discove...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2023

Fairness has been considered as a critical problem in federated learning (FL). In this work, we analyze two direct causes of unfairness FL - an unfair direction and improper step size when updating the model. To solve these issues, introduce effective way to measure fairness model through cosine similarity, then propose multiple gradient descent algorithm with fair guidance (FedMDFG) drive fair...

2010
Feng Chen Dongyun Jin Patrick Meredith Grigore Roşu

This paper gives a brief overview of Monitoring Oriented Programming (MOP). In MOP, runtime monitoring is supported and encouraged as a fundamental principle for building reliable software: monitors are automatically synthesized from specified properties and integrated into the original system to check its dynamic behaviors. When a specification is violated or validated at runtime, user-defined...

Journal: :journal of optimization in industrial engineering 2010
ata allah taleizadeh seyed taghi akhavan niaki

in this paper the real-world occurrence of the multiple-product multiple-constraint single period newsboy problem with two objectives, in which there is incremental discounts on the purchasing prices, is investigated. the constraints are the warehouse capacity and the batch forms of the order placements. the first objective of this problem is to find the order quantities such that the expected ...

Journal: :Chinese Journal of Systems Engineering and Electronics 2021

To overcome the defects that traditional approach for multi-objective programming under uncertain random environment (URMOP) neglects randomness and uncertainty of problem volatility results, a new is proposed based on expected value-standard deviation value criterion (C ESD criterion). Firstly,...

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