@inproceedings{945598944c034cd5a4f13d501c7b03e4,
title = "Time is on the Side of Grammatical Evolution",
abstract = "The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab. GE is an evolutionary technique for program search that manipulates large populations of computer programs over multiple generations. In this paper, we present our reflections on some recently conducted experiments with GELAB. GELAB leverages the power of Matlab to perform hybrid optimization on its individuals. The results show that we can substantially decrease computation time without compromising the accuracy of the system.",
keywords = "genetic algorithms, Grammatical evolution, hybrid optimization, simulated annealing, swarm optimization",
author = "Aidan Murphy and Ayman Youssef and Gupt, {Krishn Kumar} and Raja, {Muhammad Adil} and Conor Ryan",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Computer Communication and Informatics, ICCCI 2021 ; Conference date: 27-01-2021 Through 29-01-2021",
year = "2021",
month = jan,
day = "27",
doi = "10.1109/ICCCI50826.2021.9402392",
language = "English",
series = "2021 International Conference on Computer Communication and Informatics, ICCCI 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Conference on Computer Communication and Informatics, ICCCI 2021",
}