Transfer Search Directions Among Decomposed Subtasks for Evolutionary Multitasking in Multiobjective Optimization (MTEA/D-TSD)
This paper is now accepted by GECCO-24 as a full-length paper.
Email: [email protected]
@InProceedings{Li2024MTEA-D-TSD,
title = {Transfer Search Directions Among Decomposed Subtasks for Evolutionary Multitasking in Multiobjective Optimization},
author = {Li, Yanchi and Gong, Wenyin and Gu, Qiong},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
year = {2024},
address = {New York, NY, USA},
pages = {557–565},
publisher = {Association for Computing Machinery},
series = {GECCO '24},
doi = {10.1145/3638529.3653989},
isbn = {9798400704949},
location = {Melbourne, VIC, Australia},
numpages = {9},
url = {https://doi.org/10.1145/3638529.3653989},
}
The MTO-Platform (MToP) has incorporated the relevant algorithm at "MTO/Algorithms/Multi-objective Multi-task/Multi-population/MTEA-D-TSD/MTEA-D-TSD.m" and provides convenient utility functions. We highly recommend using it for code running. https://github.com/intLyc/MTO-Platform
The multi-objective sensor coverage problem in the paper have also been uploaded to the MTO-Platform at Multi-objective Sensor Coverage Problem