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Integration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing., , , and . MCDM, page 157-162. IEEE, (2009)Incorporating awareness and genetic-based viral marketing strategies to a consumer behavior model., , and . CEC, page 5178-5185. IEEE, (2016)Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios., , , and . Expert Syst. Appl., 38 (1): 709-720 (2011)Standard methods for inexpensive pollen loads authentication by means of computer vision and machine learning., and . CoRR, (2015)Interactive preferences in multiobjective ant colony optimisation for assembly line balancing., , , and . Soft Comput., 19 (10): 2891-2903 (2015)Multiobjective memetic algorithms for time and space assembly line balancing., , , and . Eng. Appl. of AI, 25 (2): 254-273 (2012)Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm., , , , and . CEC, page 3372-3379. IEEE, (2019)Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems., , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Corrigendum to "Real-time recognition of patient intentions from sequences of pressure maps using artificial neural networks" Computers in Biology and Medicine 42 (2012) 364-375., , , , , and . Comp. in Bio. and Med., 43 (9): 1302 (2013)Real-time recognition of patient intentions from sequences of pressure maps using artificial neural networks., , , , , and . Comp. in Bio. and Med., 42 (4): 364-375 (2012)