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Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems.

, , , and . Computación y Sistemas, (2016)

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The Ambulance Location Problem in Tijuana, Mexico., , , , , and . NEO, volume 663 of Studies in Computational Intelligence, page 409-441. Springer, (2015)A New Data Structure for the Nondominance Problem in Multi-objective Optimization.. EMO, volume 2632 of Lecture Notes in Computer Science, page 509-518. Springer, (2003)On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms., and . CCE, page 375-380. IEEE, (2010)Some comments on GD and IGD and relations to the Hausdorff distance., , , and . GECCO (Companion), page 1971-1974. ACM, (2010)The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems., , , , and . NEO, volume 663 of Studies in Computational Intelligence, page 281-330. Springer, (2015)Finding zeros of nonlinear functions using the hybrid parallel cell mapping method., , , and . Commun. Nonlinear Sci. Numer. Simul., (2016)Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems., , , and . EVOLVE, volume 447 of Studies in Computational Intelligence, Springer, (2013)Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation., , , , , , and . Soft Comput., 23 (7): 2463-2481 (2019)Gradient subspace approximation: a direct search method for memetic computing., , , and . Soft Comput., 21 (21): 6331-6350 (2017)On the choice of neighborhood sampling to build effective search operators for constrained MOPs., , , , , and . Memetic Comput., 11 (2): 155-173 (2019)