Scheduling and Process Optimization for Blockchain-Enabled Cloud Manufacturing Using Dynamic Selection Evolutionary Algorithm
Author:
Affiliation:
1. College of Computer Science and Engineering, Shandong University of Science and Technology (SDUST), Qingdao, China
2. College of Engineering, North Carolina State University (NCSU), Raleigh, NC, USA
Funder
National Key Research and Development Program of China
Cloud Interaction Technology and Service Platform for Mine Internet of Things
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9989328/09816126.pdf?arnumber=9816126
Reference24 articles.
1. A blockchain technology based trust system for cloud manufacturing
2. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
3. A fast and elitist multiobjective genetic algorithm: NSGA-II
4. Many-objective cloud manufacturing service selection and scheduling with an evolutionary algorithm based on adaptive environment selection strategy
5. An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
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