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Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm.

, , , , and . IEEE Trans. Evolutionary Computation, 20 (3): 475-480 (2016)

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A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables., , , , and . CEC, page 1650-1657. IEEE, (2016)Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization., , , and . IEEE Congress on Evolutionary Computation, page 2411-2415. IEEE, (2009)An evolutionary many-objective optimisation algorithm with adaptive region decomposition., , , and . CEC, page 4763-4769. IEEE, (2016)Adaptivemodelling strategy for continuous multi-objective optimization., , , and . IEEE Congress on Evolutionary Computation, page 431-437. IEEE, (2007)A surrogate-assisted evolutionary algorithm for minimax optimization., and . IEEE Congress on Evolutionary Computation, page 1-7. IEEE, (2010)Multiobjective Memetic Algorithms., , and . Handbook of Memetic Algorithms, volume 379 of Studies in Computational Intelligence, Springer, (2012)Spatio-temporal data evolutionary clustering based on MOEA/D., , , , and . GECCO (Companion), page 85-86. ACM, (2011)Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks., , and . ICC, page 1-6. IEEE, (2009)Energy-aware Topology Control in Sensor Networks Using Modern Heuristics., , , and . GLOBECOM, IEEE, (2006)Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization., , , and . CEC, page 1664-1671. IEEE, (2019)