Gap finding and validation in evolutionary multi- and many-objective optimization
Author:
Affiliation:
1. Global R&D Asturias, ArcelorMittal, Avilés, Spain
2. Michigan State University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3377930.3389835
Reference26 articles.
1. An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction
2. J. Blank and K. Deb. 2019. pymoo - Multi-objective Optimization in Python. https://pymoo.org. J. Blank and K. Deb. 2019. pymoo - Multi-objective Optimization in Python. https://pymoo.org.
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