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Multiobjective differential evolution for scheduling workflow applications on global Grids.

, , and . Concurr. Comput. Pract. Exp., 21 (13): 1742-1756 (2009)

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Towards high speed multiobjective evolutionary optimizers.. GECCO (Companion), page 1791-1794. ACM, (2008)PaletteViz: A Visualization Method for Functional Understanding of High-Dimensional Pareto-Optimal Data-Sets to Aid Multi-Criteria Decision Making., and . IEEE Comput. Intell. Mag., 15 (2): 36-48 (2020)Multiobjective differential evolution for scheduling workflow applications on global Grids., , and . Concurr. Comput. Pract. Exp., 21 (13): 1742-1756 (2009)The Pareto-Following Variation Operator as an alternative approximation model., , and . IEEE Congress on Evolutionary Computation, page 8-15. IEEE, (2009)An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization., and . J. Bank. Financial Technol., 5 (2): 105-115 (2021)Multiobjective differential evolution for workflow execution on grids., , and . MGC, page 3. ACM, (2007)A Pareto following variation operator for evolutionary dynamic multi-objective optimization., and . IEEE Congress on Evolutionary Computation, page 2270-2277. IEEE, (2008)Is the meta-EA a viable optimization method?, and . GECCO, page 1533-1540. ACM, (2013)Multiobjective optimization of co-clustering ensembles., , , , and . GECCO (Companion), page 1495-1496. ACM, (2012)Finding near-optimum and diverse solutions for a large-scale engineering design problem., , , , , and . SSCI, page 1-8. IEEE, (2017)