IEEE Computational Intelligence Magazine - February 2023 - 31

expanding non-promising regions ofsearch space to help the population
escape local optima will be designed. Further experiments to
investigate the performance ofGP4DFs and the effectiveness ofthe
optimal DFs identified, will be executed. Well-known meta-heuristics,
e.g., Differential Evolution, CMA-ES, FST-PSO, will be
executed with and without the dilations ofthe search space identified
by GP4DFs on different optimization problems, to thoroughly
assess the actual improvements that can be obtained. Finally, the
presented approach will be applied to real-world problems, including
engineering, medical, and biological applications to corroborate
its performance in real-world scenarios.
Acknowledgments
This work was supported by the National Funds through FCT
(Fundaç~ao para a Ci^encia e a Tecnologia, Portugal), under
Project - UIDB/04152/2020 - Centro de Investigaç~ao em
Gest~ao de Informaç~ao (MagIC)/NOVA IMS.
This article has supplementary downloadable material available
at https://doi.org/10.1109/MCI.2022.3222096, provided by
the authors.
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FEBRUARY 2023 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 31
https://www.doi.org/10.1109/MCI.2022.3222096 http://dx.doi.org/10.1007/s12293-018-0274-5 http://www.ntu.edu.sg/home/EPNSugan/index_files/CEC2017/CEC2017.htm http://www.ntu.edu.sg/home/EPNSugan/index_files/CEC2017/CEC2017.htm http://numbbo.github.io/workshops/BBOB-2018/ http://numbbo.github.io/workshops/BBOB-2018/
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