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Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems.

, , and . IEEE Congress on Evolutionary Computation, page 2078-2085. IEEE, (2013)

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Annealing-pareto multi-objective multi-armed bandit algorithm., , and . ADPRL, page 1-8. IEEE, (2014)Instance generator for the quadratic assignment problem with additively decomposable cost function.. IEEE Congress on Evolutionary Computation, page 2086-2093. IEEE, (2013)Sets of interacting scalarization functions in local search for multi-objective combinatorial optimization problems.. MCDM, page 41-47. IEEE, (2013)Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms.. Swarm Evol. Comput., (2019)Linear Scalarization for Pareto Front Identification in Stochastic Environments.. EMO (2), volume 9019 of Lecture Notes in Computer Science, page 156-171. Springer, (2015)Conditional log-likelihood MDL and Evolutionary MCMC.. Utrecht University, Netherlands, (2006)base-search.net (ftunivutrecht:oai:dspace.library.uu.nl:1874/14052).Recombinative EMCMC algorithms., and . Congress on Evolutionary Computation, page 2024-2031. IEEE, (2005)Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit., , and . ICAART (2), page 55-65. SciTePress, (2015)Comparing exploration strategies for Q-learning in random stochastic mazes., , and . SSCI, page 1-8. IEEE, (2016)The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff., , and . IJCNN, page 2290-2297. IEEE, (2014)