@inproceedings{c3e8a9fd84204c0794aff1d943531dff,
title = "A modified shuffled frog leaping algorithm with convergence of update process in local search",
abstract = "Shuffled frog leaping algorithm (SFLA) is meta-heuristic for solving complex optimization problems. It is one of promising optimistic methods which are based on swarm intelligence. SFLA combines the advantages of memetic algorithm and particle swarm optimization and has been widely used in engineering fields. In order to overcome the shortcomings of local search in the classic SFLA, a novel update method with convergence property is presented in this paper. On the basis of the proposed approach, the modified SFLA is presented afterwards. Experimental results show that the efficiency and convergence of the modified SFLA can be enhanced significantly.",
keywords = "Shuffled frog leaping algorithm, computation intelligence, swarm intelligence",
author = "Qiusheng Wang and Hao Yang and Xiaoyao Sun",
year = "2011",
doi = "10.1109/IMCCC.2011.256",
language = "英语",
isbn = "9780769545196",
series = "Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011",
pages = "1016--1019",
booktitle = "Proceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011",
note = "1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011 ; Conference date: 21-10-2011 Through 23-10-2011",
}