Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems
Author:
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
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612187.pdf?arnumber=10612187
Reference24 articles.
1. Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
2. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
3. Scalable Test Problems for Evolutionary Multiobjective Optimization
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