Using an Improved Dynamic Learning Evolutionary Algorithm to Solve Many-objective Service Resource Combination Optimization Problem in Crowdsourcing Design
Author:
Affiliation:
1. Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10588224.pdf?arnumber=10588224
Reference21 articles.
1. Optimal selection method for crowdsourcing design resource based on NSGA-III;Yin;Manufacturing Automation,2023
2. Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons
3. Correlation-aware resource service composition and optimal-selection in manufacturing grid
4. A fuzzy QoS-aware resource service selection considering design preference in cloud manufacturing system
5. A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems
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