Integrated Strategies to an Improved Genetic Algorithm for Allocating and Scheduling Multi-Task in Cloud Manufacturing Environment-Reference-Cited by-同舟云学术

Integrated Strategies to an Improved Genetic Algorithm for Allocating and Scheduling Multi-Task in Cloud Manufacturing Environment

Published:2019 Issue: Volume:39 Page:1872-1879
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Elgendy Abdelrahman,Yan Jihong,Zhang Mingyang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference9 articles.

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3. An extensible model for multitask-oriented service composition and scheduling in cloud manufacturing;Liu;Journal of Computing and Information Science in Engineering,2016

4. Optimizing dynamic flexible job shop scheduling problem based on genetic algorithm;Elgendy;International Journal of Current Engineering and Technology,2017

5. Developing a genetic-based multi-objective algorithm to optimise job shop scheduling problems;Hussein;International Journal of Collaborative Enterprise,2018

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1. Robustness of Cloud Manufacturing System Based on Complex Network and Multi-Agent Simulation;Entropy;2022-12-27

2. Resource scheduling in cloud-based manufacturing system: a comprehensive survey;The International Journal of Advanced Manufacturing Technology;2022-08-21

3. Scheduling in cloud manufacturing systems: Recent systematic literature review;Mathematical Biosciences and Engineering;2020