A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition
Author:
Affiliation:
1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
Funder
National Natural Science Foundation of China
Science & Technology Foundation of Guangdong Province
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2017.1292064
Reference56 articles.
1. Synchronous and asynchronous Pareto-based multi-objective Artificial Bee Colony algorithms
2. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
3. Optimal design of reconfigurable parallel machining systems
4. Cloud Manufacturing: Current Trends and Future Implementations
5. A multiobjective swarm intelligence approach based on artificial bee colony for reliable DNA sequence design
Cited by 98 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-objective artificial bee colony algorithm for reducing carbon emission and maximizing profit in a circular supply chain network;Environment, Development and Sustainability;2024-07-22
2. Sustainability-aware collaborative service composition and recommendation based on multi-attribute correlations;Expert Systems with Applications;2024-05
3. Resource Scheduling Optimisation Study Considering Both Supply and Demand Sides of Services under Cloud Manufacturing;Systems;2024-04-15
4. Simulation Modeling and Analysis on the Value-Added Service of the Third-Party E-Commerce Platform Supporting Multi-Value Chain Collaboration;Journal of Theoretical and Applied Electronic Commerce Research;2024-04-08
5. A multi-objective service composition optimization method considering multi-user benefit and adaptive resource partitioning in hybrid cloud manufacturing;Journal of Industrial Information Integration;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3