Reinforcement learning for adaptive operator selection in memetic search applied to Quadratic Assignment Problem
Memetic search is well known as one of the state-of-the-art metaheuristics for finding high-quality solutions to NP-hard problems. Its performance is often attributable to appropriate design, including the choice of its operators. In this paper, we propose a Markov Decision Process model for the sel...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2014
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2666 https://ink.library.smu.edu.sg/context/sis_research/article/3666/viewcontent/ReinforcementLearningAdaptiveOperSelQAP_2014_GECCO.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |