TY  - CONF
AU  - Osaba, Eneko
AU  - Del Ser, Javier
AU  - Martinez, Aritz D.
AU  - Lobo, Jesus L.
PY  - 2022
DO  - 10.1109/CEC55065.2022.9870324
SN  - 9781665467087
UR  - https://hdl.handle.net/11556/2736
AB  - In multimodal optimization problems the main goal is to find as many global optima as possible by using a single search process. This type of optimization tasks emerges in many real-world scenarios in assorted fields including medicine, physics, and...
LA  - eng
PB  - Institute of Electrical and Electronics Engineers Inc.
TI  - A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization
TY  - conference output
ER  -