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Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm.

, , and . Congress on Evolutionary Computation, page 2576-2583. IEEE, (2005)

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A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation., , , and . SGAI Conf., page 253-266. Springer, (2016)Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms., , and . GECCO, page 413-418. ACM, (2006)A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization., , , and . Inf. Sci., (2016)An AI-Based System for Pricing Diverse Products and Services., , and . SGAI Conf., page 393-406. Springer, (2009)A comparison of particle swarm optimization and genetic algorithms for a multi-objective Type-2 fuzzy logic based system for the optimal allocation of mobile field engineers., , , and . CEC, page 5068-5075. IEEE, (2016)Intelligent Tuning of a Dynamic Business Simulation Environment., , , and . SGAI Conf., page 355-368. Springer, (2011)Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm., , and . Congress on Evolutionary Computation, page 2576-2583. IEEE, (2005)Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis., , and . GECCO, page 727-734. ACM, (2005)A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization., , , , , and . Memetic Comput., 8 (4): 269-286 (2016)Designing Passive Indoor Distributed Antenna System with Practical Constraints Using Binary Encoding., , , , and . IEEM, page 278-282. IEEE, (2019)