@inproceedings{516efc4d0af04744b4fa54faba22cab6,
title = "Small-world optimization algorithm for function optimization",
abstract = "Inspired by the mechanism of small-world phenomenon, some small-world optimization operators, mainly including the local short-range searching operator and random long-range searching operator, are constructed in this paper. And a new optimization algorithm, Small-World Optimization Algorithm (SWOA) is explored. Compared with the corresponding Genetic Algorithms (GAs), the simulation experiment results of some complex functions optimization indicate that SWOA can enhance the diversity of the population, avoid the prematurity and GA deceptive problem to some extent, and have the high convergence speed. SWOA is shown to be an effective strategy to solve complex tasks.",
author = "Haifeng Du and Xiaodong Wu and Jian Zhuang",
year = "2006",
doi = "10.1007/11881223\_33",
language = "英语",
isbn = "3540459073",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "264--273",
booktitle = "Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings",
note = "2nd International Conference on Natural Computation, ICNC 2006 ; Conference date: 24-09-2006 Through 28-09-2006",
}