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A Batch Infill Strategy for Computationally Expensive Optimization Problems.

, , and . ACALCI, volume 10142 of Lecture Notes in Computer Science, page 74-85. (2017)

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A Batch Infill Strategy for Computationally Expensive Optimization Problems., , and . ACALCI, volume 10142 of Lecture Notes in Computer Science, page 74-85. (2017)A component-wise study of K-RVEA: observations and potential future developments., , and . GECCO (Companion), page 201-202. ACM, (2019)Uncovering Performance Envelopes Through Optimum Design of Tests., , , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 445-457. Springer, (2018)Wind-turbine design optimization using a many-objective evolutionary algorithm., , , and . GECCO Companion, page 267-268. ACM, (2020)Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space., , , and . GECCO Companion, page 201-202. ACM, (2020)A multi-objective batch infill strategy for efficient global optimization., , and . CEC, page 4336-4343. IEEE, (2016)A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework., , and . SSCI, page 1-8. IEEE, (2016)A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization., , , , and . IEEE Trans. Evol. Comput., 23 (6): 1000-1014 (2019)A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm., , and . Inf. Sci., (2019)Online intensification of search around solutions of interest for multi/many-objective optimization., , , , and . CEC, page 1-8. IEEE, (2020)