English

Research

  • Research
  • Meta-Heuristics for Solving the Software Component Allocation Problem
Article

Meta-Heuristics for Solving the Software Component Allocation Problem

أغسطس 13, 2020

DOI: 10.1109/ACCESS.2020.3015864

Publisher: IEEE

/ Issam Al-Azzoni / Saqib Iqbal

Other Researches

Model-Driven Approach for Generating Smart Contracts for Access Control

Modelling multi-party role-based access control policies for icontractml smart contracts

Model-Driven Smart Contract Generation Leveraging ChatGPT

Blockchain-Based Volunteers Management System

Data analytics on blockchains

On persisting EMF data using blockchains

Base station anomaly prediction leveraging model-driven framework for classification in Neo4j

Model-Driven Approach to Fading-Aware Wireless Network Planning Leveraging Multiobjective Optimization and Deep Learning

Model-Driven Approach to COVID-19 Vaccination Planning Leveraging Multi-Objective Optimization and Deep Learning

Model-Driven Approach to Smart Grid Stability Prediction in Neo4j

A Utility to Transform CSV Data into EMF

A Model-Driven Approach for Solving the Software Component Allocation Problem

Model-driven multi-objective optimization approach to 6G network planning

Test case prioritization for model transformations

A Framework for the Regression Testing of Model-to-Model Transformations

Extending UML Use Case Diagrams to Represent Non-Interactive Functional Requirements

On Utilizing Model Transformation for the Performance Analysis of Queueing Networks

An Improved Coloured Petri Net Model for Software Component Allocation on Heterogeneous Embedded Systems

ATL Transformation of Queueing Networks to Queueing Petri Nets

Model-to-Model based Approach for Software Component Allocation in Embedded Systems

Server consolidation for heterogeneous computer clusters using Colored Petri Nets and CPN Tools

حقوق الطبع والنشر © 2024 جامعة العين . جميع الحقوق محفوظة.