A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem-Reference-Cited by-同舟云学术

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A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem

Published:2024-06-25 Issue: Volume: Page:21-28
ISSN:
Container-title:2024 IEEE Conference on Artificial Intelligence (CAI)
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Author:

Xu Jingyuan¹,Yang Jiajian¹,Li Peiru¹,Wang Ziming¹,Huang Changwu¹,Yao Xin²

Affiliation:

1. Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China,518055

2. Lingnan University,Department of Computing and Decision Sciences,Hong Kong SAR

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605246.pdf?arnumber=10605246

Reference24 articles.

1. Evolutionary Multi-Objective Workflow Scheduling in Cloud

2. Dynamic Multi-Objective Workflow Scheduling for Cloud Computing Based on Evolutionary Algorithms

3. Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing

4. Amazon EC2 pricing,2023

5. A dynamic multipopulation genetic algorithm for multiobjective workflow scheduling based on the longest common sequence

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