2021

Conférence

special issue: Knowledge- Based and Intelligent Information and Engineering Systems: Proceedings of the 25th International Conference KES2021 Volume 192, 2021, Pages 2871-2880

@article{OUESLATI20212871,
title = {Honey Bee Cooperative HyperHeuristic},
journal = {Procedia Computer Science},
volume = {192},
pages = {2871-2880},
year = {2021},
note = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021},
issn = {1877-0509},
doi = {https://doi.org/10.1016/j.procs.2021.09.058},
url = {https://www.sciencedirect.com/science/article/pii/S1877050921017956},
author = {Imen Oueslati and Moez Hammami},
keywords = {Hyperheuristic, Bee colony Optimization, Honey-bees mating optimization, Honey Bee cooperative hyperheuristic, Hyflex},
abstract = {Hyperheuristics form a new concept that provides a more general procedure for optimization. Their goal is to manage existing low-level heuristics to solve a large number of problems without specific parameter tuning. In this paper, we propose three hyperheuristics based on honey bees behaviour: ”Bee colony optimization HyperHeuristic” BCOH2, ”Honey bee Mating Optimization HyperHeuristic” HBMOH2 and ”Honey Bee Cooperative HyperHeuristic” HBCH2 which cooperates between the two mentioned hyperheuristics. The proposed hyperheuristics are implemented under the Hyflex platform. Tested on the MAX-SAT and the Bin Packing problems, our algorithms showed good results compared to hyperheuristics participating in the CHeSC competition [13].}
}