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A local exploration tool for linear many objective optimization problems.

, , and . CCE, page 1-6. IEEE, (2016)

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On the efficient computation and use of multi-objective descent directions within constrained MOEAs., , and . Swarm Evol. Comput., (2020)Toward a New Family of Hybrid Evolutionary Algorithms., , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 78-90. Springer, (2019)Using gradient information for multi-objective problems in the evolutionary context., , and . GECCO (Companion), page 2011-2014. ACM, (2010)Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization., , , and . IEEE Trans. Evol. Comput., 16 (4): 504-522 (2012)On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem., , and . IEEE Trans. Evol. Comput., 15 (4): 444-455 (2011)Automatic Composition of Music Using a Genetic Algorithm, Emotional Musical Theory and Machine Learning., , and . Computación y Sistemas (CyS), (2023)A new gradient free local search mechanism for constrained multi-objective optimization problems., , , and . Swarm Evol. Comput., (2021)A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems., , , , , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 53-65. Springer, (2019)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)Some comments on GD and IGD and relations to the Hausdorff distance., , , and . GECCO (Companion), page 1971-1974. ACM, (2010)