Publisher
Springer International Publishing
Reference22 articles.
1. Oliveto, P.S., He, J., Yao, X.: Time complexity of evolutionary algorithms for combinatorial optimization: a decade of results. Int. J. Autom. Comput. 4(3), 281–293 (2007)
2. Nguyen, T., Yang, S., Branke, J.: Evolutionary dynamic optimization: a survey of the state of the art. Swarm Evol. Comput. 6, 1–24 (2012)
3. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction, vol. 1. MIT press, Cambridge (1998)
4. Fu, H., Lewis, P.R., Sendhoff, B., Tang, K., Yao, X.: What are dynamic optimization problems? In: IEEE Congress on Evolutionary Computing (CEC), pp. 1550–1557 (2014)
5. Fu, H., Lewis, P.R., Yao, X.: A Q-learning based evolutionary algorithm for sequential decision making problems. In: Parallel Problem Solving from Nature (PPSN). VUB AI Lab (2014)
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