A hybrid biogeography-based optimization and fireworks algorithm
作者： Bei Zhang , Min-Xia Zhang , Yu-Jun Zheng
关键词: Gaussian 、 Computer science 、 Mathematical optimization 、 Biogeography-based optimization 、 Benchmark (computing) 、 Global optimization 、 Key (cryptography) 、 Premature convergence 、 Population 、 Operator (computer programming)
摘要: The paper presents a hybrid biogeography-based optimization (BBO) and fireworks algorithm (FWA) for global optimization. key idea is to introduce the migration operator of BBO FWA, in order enhance information sharing among population, thus improve solution diversity avoid premature convergence. A probability designed integrate normal explosion which can not only reduce computational burden, but also achieve better balance between diversification intensification. Gaussian enhanced FWA (EFWA) reserved keep high exploration ability algorithm. Experimental results on selected benchmark functions show that has significantly performance improvement comparison with both EFWA.
sci-hub.se 参考文章(21)
Wenrui He, Guyue Mi, Ying Tan, Parameter Optimization of Local-Concentration Model for Spam Detection by Using Fireworks Algorithm international conference on swarm intelligence. pp. 439- 450 ,(2013) , 10.1007/978-3-642-38703-6_52
Ying Tan, Yuanchun Zhu, Fireworks Algorithm for Optimization Lecture Notes in Computer Science. pp. 355- 364 ,(2010) , 10.1007/978-3-642-13495-1_44
Rainer Storn, Kenneth Price, Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces Journal of Global Optimization. ,vol. 11, pp. 341- 359 ,(1997) , 10.1023/A:1008202821328
Haiping Ma, An analysis of the equilibrium of migration models for biogeography-based optimization Information Sciences. ,vol. 180, pp. 3444- 3464 ,(2010) , 10.1016/J.INS.2010.05.035
Xin Yao, Yong Liu, Guangming Lin, Evolutionary programming made faster IEEE Transactions on Evolutionary Computation. ,vol. 3, pp. 82- 102 ,(1999) , 10.1109/4235.771163
Ying Tan, Enhanced Fireworks Algorithm congress on evolutionary computation. pp. 2069- 2077 ,(2013) , 10.1007/978-3-662-46353-6_6
Yu-Jun Zheng, Hai-Feng Ling, Hai-He Shi, Hai-Song Chen, Sheng-Yong Chen, Emergency railway wagon scheduling by hybrid biogeography-based optimization Computers & Operations Research. ,vol. 43, pp. 1- 8 ,(2014) , 10.1016/J.COR.2013.09.002
S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, Optimization by Simulated Annealing Science. ,vol. 220, pp. 671- 680 ,(1983) , 10.1126/SCIENCE.220.4598.671
Ilhem Boussaïd, Amitava Chatterjee, Patrick Siarry, Mohamed Ahmed-Nacer, Biogeography-based optimization for constrained optimization problems Computers & Operations Research. ,vol. 39, pp. 3293- 3304 ,(2012) , 10.1016/J.COR.2012.04.012
J. O. Kephart, Learning from Nature Science. ,vol. 331, pp. 682- 683 ,(2011) , 10.1126/SCIENCE.1201003