AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems
Author:
Affiliation:
1. Computer Science, University of Tsukuba, Tsukuba, Ibaraki, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583133.3590655
Reference21 articles.
1. Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms
2. Multiswarms, exclusion, and anti-convergence in dynamic environments
3. Memory enhanced evolutionary algorithms for changing optimization problems
4. Empirical Evaluation
5. Felipe Campelo , Lucas Batista , and Claus Aranha . 2020. The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. Journal of Statistical Software ( 2020 ). In press . Available from: https://arxiv.org/abs/1807.06731. Felipe Campelo, Lucas Batista, and Claus Aranha. 2020. The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. Journal of Statistical Software (2020). In press. Available from: https://arxiv.org/abs/1807.06731.
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