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Intercalated amygdala clusters orchestrate a switch in fear state, , , , , , , , , and 6 other author(s). Nature, 594 (7863): 403–407 (2021)Solving multi-objective optimization problems using differential evolution and a maximin selection criterion., and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)GDE-MOEA: A new MOEA based on the Generational Distance indicator and ε-dominance., and . CEC, page 947-955. IEEE, (2015)MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions., and . IEEE Congress on Evolutionary Computation, page 2148-2155. IEEE, (2014)A More Efficient Selection Scheme in iSMS-EMOA., , , and . IBERAMIA, volume 8864 of Lecture Notes in Computer Science, page 371-380. Springer, (2014)Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems., and . Inf. Sci., (2016)A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization., and . IEEE Congress on Evolutionary Computation, page 2598-2605. IEEE, (2009)MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator., and . PPSN, volume 8672 of Lecture Notes in Computer Science, page 652-661. Springer, (2014)A new selection mechanism based on hypervolume and its locality property., and . IEEE Congress on Evolutionary Computation, page 924-931. IEEE, (2013)An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation., , and . IEEE Access, (2018)