@inproceedings{afffd61df1af4f8080dae36de84fa86b,
title = "Improving local search in genetic algorithms for numerical global optimization using modified GRID-point search technique",
abstract = "This paper presents a Hybrid system for numerical global optimization problems based on the Genetic Algorithms (GAs) and modified GRID-point search. Experimental results indicate that the Hybrid system outperforms the classical GAs as the modified GRID can (i) speed up the search, (ii) further improve the fine tuning capabilities of GAs, and (iii) overcome the premature termination. The Hybrid system not only improve the searching capabilities of classical GAs but it also preserves the randomization of the searching space. In addition, the effectiveness of the genetic operators is addressed in this paper.",
author = "S. KWONG and NG, {A. C.} and MAN, {K. F.}",
year = "1995",
doi = "10.1049/cp:19951085",
language = "English",
isbn = "0852966504",
series = "IEE Conference Publication",
publisher = "IET",
pages = "419--423",
booktitle = "Proceedings of the 1st IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications",
note = "1st IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA '95 ; Conference date: 12-09-1995 Through 14-09-1995",
}