SRIME: A strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineer optimization problems
Necessary packages: numpy, opfunu, enoppy, and pyDOE2
@article{Zhong:24,
author = {Rui, Zhong and Jun, Yu and Chao, Zhang and Masaharu, Munetomo},
year = {2024},
month = {01},
pages = {6721–6740},
title = {SRIME: A strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems},
volume = {36},
journal = {Neural Computing and Applications},
doi = {https://doi.org/10.1007/s00521-024-09424-4 },
}