Self-Detection and Comprehensive Learning-Based BRO for Cloud Workflow Scheduling Under Budget Constraints
Author:
Affiliation:
1. Beijing Institute of Technology,Beijing,P. R. China,100081
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240068.pdf?arnumber=10240068
Reference20 articles.
1. Scoring and Dynamic Hierarchy-Based NSGA-II for Multiobjective Workflow Scheduling in the Cloud
2. A fast and elitist multiobjective genetic algorithm: NSGA-II
3. Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
4. Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems
5. Battle royale optimization algorithm [J];rahksr farshi;Neural Computing and Applications,2020
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