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Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms.

, , and . MICAI, volume 4827 of Lecture Notes in Computer Science, page 128-138. Springer, (2007)

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Some comments on GD and IGD and relations to the Hausdorff distance., , , and . GECCO (Companion), page 1971-1974. ACM, (2010)On the interplay of generator and archiver within archive based multiobjective evolutionary algorithms., and . CCE, page 375-380. IEEE, (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)Metaheuristics to solve grouping problems: A review and a case study., , , and . Swarm Evol. Comput., (2020)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)Using gradient-free local search within MOEAs for the treatment of constrained MOPs., , , and . GECCO Companion, page 177-178. ACM, (2020)PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs., , , and . EVOLVE, volume 175 of Advances in Intelligent Systems and Computing, page 137-151. Springer, (2012)A new memetic strategy for the numerical treatment of multi-objective optimization problems., , and . GECCO, page 705-712. ACM, (2008)Solving the ambulance location problem in Tijuana-Mexico using a continuous location model., , , , and . CEC, page 2631-2638. IEEE, (2015)