Changing or keeping solutions in dynamic optimization problems with switching costs
Author:
Affiliation:
1. John Moores University, Liverpool, United Kingdom
2. University of Warwick, Coventry, United Kingdom
3. University of Birmingham, Birmingham, United Kingdom
4. University of Birmingham, Birmingham, United Kingdom and SUSTech, Shenzhen, China
Funder
Engineering and Physical Sciences Research Council
NRCP
Newton Institutional Links
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3205455.3205484
Reference30 articles.
1. Handling changes of performance requirements in multi-objective problems
2. Using regression to improve local convergence
3. Multiswarms, exclusion, and anti-convergence in dynamic environments
4. Memory enhanced evolutionary algorithms for changing optimization problems
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