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第2期 秦全德,等:人工蜂群算法研究综述 ·133. optimization[J].Applied Soft Computing,2012,12:320- tes,2011,111(17):871-882. 332. [22]STANAREVIC N.Comparison of different mutation strate- [9]ZHU G,KWONG S.Gbest-guided artificial bee colony algo- gies applied to artificial bee colony algorithm[C]//The 5th rithm for numerical function optimization[.Applied Math- European Computing Conference.Paris,Frence,2011: ematics and Computation,2010,217(7):3166-3173. 257-262. 10 BANHARNSAKUN A,ACHALAKUL T,SIRINAO- [23]CHEN S M,SAROSH A,DONG Y F.Simulated annealing VAKUL B.The best-so-far selection in artificial bee colo- based artificial bee colony algorithm for global numerical ny algorithm [J].Applied Soft Computing,2011,11 optimization[J].Applied Mathematics and Computations, (2):2888-2901. 2012,219:3575-3589. 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[30]KANG F,LI JJ,MA Z.Rosenbrock artificial bee colony [17]RAJASEKHAR A.ABRAHAM A,PANT M.Levy muta- algorithm for accurate global optimization of numerical ted artificial bee colony algorithm for global optimization functions J].Information Sciences,2011,181 (16): [C]//IEEE International Conference on Systems,Man 3508.3531 and Cybernetics.Anchorage,USA,2011:665-662. [31]KANG F,LI JJ,LI H J.Artificial bee colony algorithm [18]ALAM M S,UI KABIR M W,ISLAM MM.Self-adaption and pattern search hybridized for global optimization[J]. of mutation step size in artificial bee colony algorithm for Applied Soft Computing,2013,13(4):1781-1791. continuous function optimization[C]//The 2010 13th In- [32]HONG W C.Electric load forecasting by seasonal recurrent ternational Conference on Computer and Information Tech- SVR(support vector regression)with chaotic artificial bee nology.Dhaka,Bangladesh,2010:69-74. colony algorithm[J].Energy,2011,36(9):5568-5578. [19]ALATAS B.Chaotic bee colony algorithms for global nu- [33]毕晓君,王艳娇.用于多峰函数优化的小生境人工蜂群 merical optimization J].Expert Systems with Applica- 算法[J].系统工程与电子技术,2011,33(11):2564 tions,2010,37(8):5682-5687. 2568. [20]黄玲玲,刘三阳,高卫峰具有人工蜂群搜索策略的差分 BI Xiaojun,WANG Yanjiao.Niche artificial bee colony al- 进化算法[J刀.控制与决策,2012,27(11):1644-1648. gorithm for multi-peak function optimization[J].Systems HUANG Lingling,LIU Sanyang,GAO Weifeng.Differenti- Engineering and Electronics,2011,33(11):2564-2568. al evolution with the search strategy of artificial bee colony [34]GAO W F,LIU S Y.A modified artificial bee colony algo- algorithm J.Control and Decision,2012,27(11):1644 rithm[J].Computers and Operations Research,2012,39 -1648. (3):687-697. [21]GAO W F,LIU S Y.Improved artificial bee colony algo- [35]TSAI P W,PAN J S,LIAO B Y,et al.Enhanced artifi- rithm for global optimization[J].Information Process Let- cial bee colony optimization[].Information and Control,optimization[ J]. Applied Soft Computing, 2012, 12: 320⁃ 332. [9]ZHU G, KWONG S. Gbest⁃guided artificial bee colony algo⁃ rithm for numerical function optimization[J]. Applied Math⁃ ematics and Computation, 2010, 217 (7): 3166⁃3173. [ 10 ] BANHARNSAKUN A, ACHALAKUL T, SIRINAO⁃ VAKUL B. The best⁃so⁃far selection in artificial bee colo⁃ ny algorithm [ J]. Applied Soft Computing, 2011, 11 (2): 2888⁃2901. [11]AKAY B, KARABOGA D. Parameter tuning for the artifi⁃ cial bee colony algorithm[C] / / Lecture Notes in Computer Science. Berlin,Germany, 2009, 5796: 608⁃619. [12]暴励,曾建潮. 一种双种群差分蜂群算法[J]. 控制理论 与应用, 2011, 28(2): 266⁃272. BAO LI, ZENG Jianchao. A bi⁃group differential artificial bee colony algorithm[J]. Control Theory and Applications, 2011, 28(2): 266⁃272. [13]罗钧,李研. 具有混沌搜索策略的蜂群优化算法[J]. 控 制与决策, 2010, 25(12): 1913⁃1916. LUO JUN, LI YAN. Artificial bee colony algorithm with chaotic⁃search strategy [ J]. Control and Decision, 2010, 25 (12): 1913⁃1916. [14]BAO L, ZENG J C. Comparison and analysis of the selec⁃ tion mechanism in the artificial bee colony algorithm [C] / / The 2009 9th International Conference on Hybrid Intelligent Systems. Shenyang, China, 2011: 411⁃416. [15]KONRAD D, ANDREJ A, ALEXANDER S, et al. Per⁃ formance evaluation of artificial bee colony optimization and new selection schemes [ J ]. Memetic Computing, 2011, 3: 149⁃ 162. [16] LEE W P, CAI W T. A novel artificial bee colony algo⁃ rithm with diversity strategy [ C] / / The 7th International Conference on Natural Computation. Shanghai, 2011: 1441⁃1444. [17]RAJASEKHAR A, ABRAHAM A, PANT M. Levy muta⁃ ted artificial bee colony algorithm for global optimization [ C] / / IEEE International Conference on Systems, Man and Cybernetics. Anchorage, USA, 2011: 665⁃662. [18]ALAM M S, UI KABIR M W, ISLAM MM. Self⁃adaption of mutation step size in artificial bee colony algorithm for continuous function optimization[C] / / The 2010 13th In⁃ ternational Conference on Computer and Information Tech⁃ nology. Dhaka, Bangladesh, 2010: 69⁃74. [19]ALATAS B. Chaotic bee colony algorithms for global nu⁃ merical optimization [ J ]. Expert Systems with Applica⁃ tions, 2010, 37(8): 5682⁃5687. [20]黄玲玲,刘三阳,高卫峰.具有人工蜂群搜索策略的差分 进化算法[J].控制与决策, 2012, 27(11): 1644⁃1648. HUANG Lingling, LIU Sanyang, GAO Weifeng. Differenti⁃ al evolution with the search strategy of artificial bee colony algorithm[J]. Control and Decision, 2012, 27(11): 1644 ⁃1648. [21]GAO W F, LIU S Y. Improved artificial bee colony algo⁃ rithm for global optimization[ J]. Information Process Let⁃ ters, 2011, 111(17): 871⁃882. [22] STANAREVIC N. Comparison of different mutation strate⁃ gies applied to artificial bee colony algorithm[C] / / The 5th European Computing Conference. Paris, Frence, 2011: 257⁃262. [23]CHEN S M, SAROSH A, DONG Y F. Simulated annealing based artificial bee colony algorithm for global numerical optimization[ J]. Applied Mathematics and Computations, 2012, 219: 3575⁃3589. [24]DUAN H B, XU C F, XING Z H. A hybrid artificial bee colony optimization and quantum evolutionary algorithm for continuous optimization problems[J]. International Journal of Neural Systems, 2010, 20(1): 39⁃50. [25] MUSTAFA S K, MESUT G. A recombination⁃based hy⁃ bridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems[ J]. Applied Soft Computing, 2013, 4(13): 2188⁃2203. [26]EL⁃ABD M. A hybrid ABC⁃SPSO algorithm for continuous function optimization[C] / / IEEE Symposium on Swarm In⁃ telligence. Paris, Frence, 2011: 1⁃6. [27]SHI X, LI Y, LI H, GUAN R, et al. An integrated algo⁃ rithm based on artificial bee colony and particle swarm op⁃ timization[C] / / The 2010 6th International Conference on Natural Computation. Yantai, China, 2010, 5: 2586⁃ 2590. [28]ZHONG Y, LIN J, NING J, et al. Hybrid artificial bee colony algorithm with chemotaxis behavior of bacterial fora⁃ ging optimization algorithm[C] / / The 2011 7th internation⁃ al conference on natural computation. [ S. l.], 2011, 2: 171⁃1174. [29]KANG F, LI J J, XU Q. Structural inverse analysis by hy⁃ brid simplex artificial bee colony algorithms[J]. Computers and Structures, 2009, 87(13 / 14): 861⁃870. [30]KANG F, LI J J, MA Z. Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions [ J ]. Information Sciences, 2011, 181 ( 16 ): 3508⁃3531. [31]KANG F, LI J J, LI H J. Artificial bee colony algorithm and pattern search hybridized for global optimization [ J]. Applied Soft Computing, 2013, 13(4): 1781⁃1791. [32]HONG W C. Electric load forecasting by seasonal recurrent SVR(support vector regression) with chaotic artificial bee colony algorithm[J]. Energy, 2011, 36(9): 5568⁃5578. [33]毕晓君,王艳娇. 用于多峰函数优化的小生境人工蜂群 算法[J]. 系统工程与电子技术, 2011, 33(11): 2564⁃ 2568. BI Xiaojun, WANG Yanjiao. Niche artificial bee colony al⁃ gorithm for multi⁃peak function optimization [ J]. Systems Engineering and Electronics, 2011, 33(11): 2564⁃2568. [34]GAO W F, LIU S Y. A modified artificial bee colony algo⁃ rithm[J]. Computers and Operations Research, 2012, 39 (3): 687⁃697. [35]TSAI P W, PAN J S, LIAO B Y, et al. Enhanced artifi⁃ cial bee colony optimization[ J]. Information and Control, 第 2 期 秦全德,等: 人工蜂群算法研究综述 ·133·
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