带有遗传算子的烟花爆炸优化算法

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: 受烟花爆炸现象的启发并结合遗传算法思想提出一种新的优化算法———带有遗传算子的烟花爆炸优化算法( GAFEO)。该算法主要模 拟烟花爆炸的方式对解空间进行基本的并行弥漫式爆炸搜索,引入自适应局部搜索策略和遗传算法中的交叉变异策略以改善算法的优化性能。 通过实验对 12 个常用高维测试函数进行优化计算,结果表明,与 PSO 算法以及其他新型算法相比, GAFEO 算法在寻优能力、寻优精度等方面 都具有较好的性能。
[0,1 S Pm I GAFEO PSO PSA GSA GAFEO 3. 4 GAFEO 5.60c67.lc-11 4.17c20 fl CAFES 42.37 7.88e62.le10 2.86e17 b f2 T、N、N、w ti al 、 19.95 2.33e1 1.23e6 T N be 1.23e34.60e50.15:3 0.0)4 f3 0.08 ;pm be 14.986.2e33.7e-6 2.53e5 Step2 mean 22.9 8.5e-6 1.84e4 best1.47e214.32 25.16 0.006 mean 53. 28.04 0.00 7.7e-11 0.00 mean 5.62e2 2.47 0.00 besl 3. 8le ole l 0.015 0.008 eA mean8.20e-14.99e10.533 0.024 30%N 0%N M 47.7614.42 1.95e-14 84.8 81.06 7.04e13 6.e-6 4.49- 10.13 6.99e6 40%N 3.12e7 0.04 1.38e1l f10 VoN 40%N 5.77 0.0 6.26c13 mean 10.75 0.01 34e-12 best34.96.2e73.2e32 5.43e-12 f12 50. GAFEO f8、f9、f10、f11, CAFEO G AFEO 412, G AFEO GSA PSO pPs CAFES GAFEO f8~f12 4.2 GAFEO 000、N=3 PSO、GSA GaTE 20 P F re lin iai (X max-Y min), &[O. 05, 0.40 2008,34(24):208210 PSO.pPSA、GSA [5日。 [2 Karaboga D, Basturk B. A Powerful and Efficient A hm 30 GAFEO for Numerical Function O p timiz at ion: Artificial Bee Colony best (ABC) Algorithm[ J. Journal of Global O pt imiz at io n, 2007, mean STD O ptimal value 39(3):459471 154) ?1994-2019ChinaAcademicjOurnalElectronicPublishingHouse.alLrightsreservedhttp://www.cnki.net HMM SVM DTW HMM DTW SM DTW HMM SVM DTW HM M 13 DT W HM M ⅤM M≥8 N≥70 N95 N95 DTW 10 OMeN) OCK2M O、M2N) DTW 2400 98%, DTW HMM 88% DTW DTW HMM II Jl DTW98.189.03998199.4799.9298.7595.0295.2798.05 ,2009,35(15);198200. HMM 84.46 8482 88.3185.60 89.15 96.80 81. 52 92.86 88.19 [2 Perng J K, Fisher B, Hollar S, et al. Accelerati on Se nsing ⅤM98.239).42985899.10呢.4899.2795.595.5096.88 G love(ASG)[C]//Proc. of I he 3rd In ternational Symposium on Wearable Computers, Digest of Pa S an Francisco. 2400 California, USA:[s. n ],1999: 178-180 1 31 Kela J, Korpipa P, Ma ntya rvi J, et al. Accelerometer bas ed Gesture Cont rol for a Design Environmen[ J. Pe rsonal (%) U biquitous C 2006,10(5):285299 4 Liu Jiayang, Wang Zhen, Zhong Lin. u Wave: Acce lerom eter based Personalized gesti Recognition C//P DTW90.09.6493.1094.1893.3095.5391.0296.3993.66 UIST08. Monterey, California, USA: A CM P ress, 2008 [5 Wilson D, Wils on A. Ges tu re Recog nition Using XW and[ r HMM60.3075.3262.6268,1573.2678.5469.1875.0170.31 Pittsbu rgh, Pennsy Iv ania, USA: Robotics Ins titute. Carnegie sVM63.3051.7255.8964.3666.5478.0852.4950.9360.42 Mellon U ni versity, Tech. Rep: CMU-RI-0457, 2004. [G Mi nty V M, Mi nty i rvi J, Seppi nen T, et al. Hand Gesture DTW Recog ni ti on of a m obi le dev ice User C]//Proc. of Int ernational HMM SVM IEEE Conference on M ul tim elia and Expo. New York, USA Ⅰ EEE Press2000 I 3] Havens T C, Spain C J. Salmonn G, et al. Roach In festation 5 Zhao Xinchao. A Perl urbed Particle Swarn Alg ori th m for O pt im iz at ion I C1//Proc. of IEEE Swarm Intel ligen ce Numerical Optimiz at ion[ J. Applied Soft Comput ing, 2010, Symposium. S. 1.: IEEE Press 2008: 1-7 10(1):1l9124. I 4] Hsieh Sheng Ta, Sun T l [G Rashed e, Neza mah H, Sary azdi S. GSA: A Offspring Produc tion Strateg ies: An Improved Genet ic Ravi tational Search Algorithm J]. Information Sciences, Algorithm for Glob al Numerri eal Optimization[ J. Expert 2009.179(13):22322248 System s w ith A pplications. 2006, 36(8):1108811098 ?1994-2019ChinaAcademicjOurnalElectronicPublishingHouse.alLrightsreservedhttp://www.cnki.net

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