@inproceedings{c9bc2364af2648989def1a7d09f728af,
title = "Improved artificial bee colony algorithm with chaos",
abstract = "Artificial bee colony (ABC) algorithm is the one of the newest nature inspired heuristics for optimization problem. Like the chaos in real bee colony behavior, this paper proposes a Chaotic ABC (CABC) that use chaotic searching behavior for candidate food position produced in order to improve the convergence characteristics and to prevent the ABC to get stuck on local solutions. To show the performance of our proposed CABC, a number of experiments are carried out on a set of well-known benchmark continuous optimization problems. Simulation results and comparisons with the standard ABC and several meta-heuristics show that the CABC can effectively enhance the searching efficiency and greatly improve the searching quality.",
keywords = "Artificial Bee Colony Algorithm, Chaos, Global Numerical Optimization",
author = "Bin Wu and Fan, {Shu Hai}",
year = "2011",
doi = "10.1007/978-3-642-22694-6_8",
language = "英语",
isbn = "9783642226939",
series = "Communications in Computer and Information Science",
pages = "51--56",
booktitle = "Computer Science for Environmental Engineering and EcoInformatics - International Workshop, CSEEE 2011, Proceedings",
note = "2011 International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011 ; Conference date: 29-07-2011 Through 31-07-2011",
}