Two Improved Artificial Bee Colony Algorithms Inspired by Grenade Explosion Method
作者： Chaoqun Zhang , Jianguo Zheng , Yongquan Zhou
DOI: 10.1007/978-3-642-39678-6_17
关键词:
摘要: In order to enhance the original artificial bee colony (ABC) algorithm’s exploitation ability, two improved versions of ABC inspired by grenade explosion method (GEM), namely GABC1 and GABC2, are proposed. GEM is embedded in employed bees’ phase GABC1, whereas it onlookers’ GABC2. The performance differences between GABC2 assessed on five well-known benchmark functions compared with that analyzing effect different limit values. All experimental results show greatly outperforms all functions. Although has similar or better than most cases, performs more robust effective GABC1.
springer.com
sci-hub.st 参考文章(38)
Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei-Chang Yeh, Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm Neurocomputing. ,vol. 82, pp. 196- 206 ,(2012) , 10.1016/J.NEUCOM.2011.11.020
M. Fatih Tasgetiren, Quan-Ke Pan, P.N. Suganthan, Adalet Oner, A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion Applied Mathematical Modelling. ,vol. 37, pp. 6758- 6779 ,(2013) , 10.1016/J.APM.2013.02.011
D.J. Bordoloi, Rajiv Tiwari, Optimum multi-fault classification of gears with integration of evolutionary and SVM algorithms Mechanism and Machine Theory. ,vol. 73, pp. 49- 60 ,(2014) , 10.1016/J.MECHMACHTHEORY.2013.10.006
Ramin Rajabioun, Cuckoo Optimization Algorithm soft computing. ,vol. 11, pp. 5508- 5518 ,(2011) , 10.1016/J.ASOC.2011.05.008
Wei-Der Chang, Nonlinear CSTR control system design using an artificial bee colony algorithm Simulation Modelling Practice and Theory. ,vol. 31, pp. 1- 9 ,(2013) , 10.1016/J.SIMPAT.2012.11.002
Anan Banharnsakun, Booncharoen Sirinaovakul, Tiranee Achalakul, The best-so-far ABC with multiple patrilines for clustering problems Neurocomputing. ,vol. 116, pp. 355- 366 ,(2013) , 10.1016/J.NEUCOM.2012.02.047
Ali Ahrari, Reza Ahrari, On the utility of randomly generated functions for performance evaluation of evolutionary algorithms Optimization Letters. ,vol. 4, pp. 531- 541 ,(2010) , 10.1007/S11590-010-0181-2
Rui Zhang, Shiji Song, Cheng Wu, A hybrid artificial bee colony algorithm for the job shop scheduling problem International Journal of Production Economics. ,vol. 141, pp. 167- 178 ,(2013) , 10.1016/J.IJPE.2012.03.035
Mina Husseinzadeh Kashan, Nasim Nahavandi, Ali Husseinzadeh Kashan, DisABC: A new artificial bee colony algorithm for binary optimization Applied Soft Computing. ,vol. 12, pp. 342- 352 ,(2012) , 10.1016/J.ASOC.2011.08.038
Jun Luo, Qian Wang, Xianghai Xiao, A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization Applied Mathematics and Computation. ,vol. 219, pp. 10253- 10262 ,(2013) , 10.1016/J.AMC.2013.04.001