• An adaptive and transfer guided metaheuristic is proposed for Evolutionary Multitasking. Synergies between tasks are analyzed along the search in a dynamic way. 4 different combinatorial optimization problems have been considered. 11 multitasking scenarios solved comprised by 5 to 20 instances. Proposed AT-MFCGA compared with MFEA, MFEA-II MFCGA. Transfer Optimization an incipient research ar...