Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem
暂无分享,去创建一个
[1] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[2] Bernd Freisleben,et al. Fitness landscape analysis and memetic algorithms for the quadratic assignment problem , 2000, IEEE Trans. Evol. Comput..
[3] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[4] Zhi Yuan,et al. An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection , 2014, LION.
[5] Frédéric Saubion,et al. Autonomous operator management for evolutionary algorithms , 2010, J. Heuristics.
[6] Thomas Stützle,et al. Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP , 2011, EvoCOP.
[7] Helio J. C. Barbosa,et al. Adaptive Operator Selection at the Hyper-level , 2012, PPSN.
[8] Michèle Sebag,et al. Extreme Value Based Adaptive Operator Selection , 2008, PPSN.
[9] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[10] Colin R. Reeves,et al. Evolutionary computation: a unified approach , 2007, Genetic Programming and Evolvable Machines.
[11] Thomas Bartz-Beielstein,et al. Experimental Methods for the Analysis of Optimization Algorithms , 2010 .