Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition
By Ke Li, Álvaro Fialho, Sam Kwong, Qingfu Zhang. IEEE Transactions on Evolutionary Computation, 2014
414 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/3fee78178cb32031215ad3d33b4a083e6c6e4961
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yaochu Jin
- Ke Li
- Qingfu Zhang
- Sam Kwong
- Kalyanmoy Deb
- Dipti Srinivasan
- Abhiroop Ghosh
- Krishnendu Sanyal
In Computational Theory and Mathematics
- Yaochu Jin
- Ke Li
- Qingfu Zhang
- Sam Kwong
- Dipti Srinivasan
- Kalyanmoy Deb
- Abhiroop Ghosh
- Krishnendu Sanyal
Citations in the corpus
- An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition (2015, methodology): “, introducing adaptive mechanism in reproduction [42], hybridizing with local search [43], and incorporating stable matching in selection [44].”
- Parameter Control in Evolutionary Algorithms: Trends and Challenges (2015, background): “[129] suggested a sliding window that stores the rate of improvement in the fitness of the offspring as compared to the parent.”
- A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition (2017, methodology): “8) Extensive work is being conducted on incorporating AOS in the MOEA/D framework [33], [94], [97], etc.”