Analysis of the Impact of Prediction Accuracy on Search Performance in Surrogate-assisted Evolutionary Algorithms
Author:
Affiliation:
1. Graduate School of Systems Design Tokyo Metropolitan University,Tokyo,Japan
2. Tokyo Metropolitan University,Faculty of Systems Design,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611759.pdf?arnumber=10611759
Reference16 articles.
1. Constraint-handling in nature- inspired numerical optimization: Past, present and future;Mezura-Montes,2011
2. A review of surrogate-assisted evolutionary algorithms for expensive optimization problems;He,2023
3. Surrogate-assisted evolutionary computation: Recent advances and future challenges;Jin,2011
4. Data-Driven Evolutionary Optimization
5. Analysis of Relation between Prediction Accuracy of Surrogate Model and Search Performance on Extreme Learning Machine Assisted MOEA/D
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