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Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time.

, , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 685-700. Springer, (2017)

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Energy-efficient multigroup communication., , , and . Trans. Emerg. Telecommun. Technol., (2018)Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem., , , , , and . CEC, page 37-45. IEEE, (1999)How redundancy and neutrality may affect evolution on NK fitness landscapes., and . IEEE Congress on Evolutionary Computation, page 2842-2849. IEEE, (2007)Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms., and . Practical Approaches to Multi-Objective Optimization, volume 04461 of Dagstuhl Seminar Proceedings, IBFI, Schloss Dagstuhl, Germany, (2005)Neuro-genetic PID autotuning., , , , , and . ECC, page 3899-3904. IEEE, (2001)Nonlinear identification of aircraft gas-turbine dynamics., , , , and . Neurocomputing, 55 (3-4): 551-579 (2003)On the Computation of the Empirical Attainment Function., , , and . EMO, volume 6576 of Lecture Notes in Computer Science, page 106-120. Springer, (2011)Unsure when to stop?: ask your semantic neighbors., , , and . GECCO, page 929-936. ACM, (2017)Nonlinear Network Optimization - An Embedding Vector Space Approach., , , and . IEEE Trans. Evol. Comput., 14 (2): 206-226 (2010)A Comparative Study of Algorithms for Solving the Multiobjective Open-Pit Mining Operational Planning Problems., , , and . EMO (2), volume 9019 of Lecture Notes in Computer Science, page 433-447. Springer, (2015)