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·440· 智能系统学报 第12卷 individual-dependent mechanism[J].IEEE transactions on 16-19. evolutionary computation,2015,19(4):560-574. [48]陈俊风,吴铁军.群体智能算法搜索策略的性质及对停 [37]QIN A K,HUANG V L,SUGANTHAN P N.Differential 滯现象的影响[J].系统工程理论与实践,2013,06: evolution algorithm with strategy adaptation for global nu- 1587-1595. merical optimization[]].IEEE transactions on evolutionary CHEN Junfeng,WU Tiejun.The property of search strate- computation,2009,13(2):398-417. gies of swarm intelligent algorithms and their influences on [38]BREST J,GREINER S,BOSKOVIC B,et al.Self- stagnation[J.Systems engineering-theory and practice, adapting control parameters in differential evolution:a 2013,06:1587-1595. comparative study on numerical benchmark problems[J]. 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Differential evolution algorithm with strategy adaptation for global nu⁃ merical optimization[J]. IEEE transactions on evolutionary computation, 2009, 13(2): 398-417. [ 38 ] BREST J, GREINER S, BOSKOVIC B, et al. Self⁃ adapting control parameters in differential evolution: a comparative study on numerical benchmark problems[ J]. IEEE transactions on evolutionary computation, 2006, 10 (6): 646-657. [39]ZHANG J, SANDERSON A C. JADE: adaptive differential e⁃ volution with optional external archive[J]. IEEE transactions on evolutionary computation, 2009, 13(5): 945-958. [40]AHADZADEH B, MENHAJ M B. A modified differential evolution algorithm based on a new mutation strategy and chaos local search for optimization problems[C] / / Pro⁃ ceedings of the 4th International Conference on Computer and Knowledge Engineering. Mashhad, Iran, 2014: 468-473. [41]SAHU B K, PATI S, PANDA S. Hybrid differential evolu⁃ tion particle swarm optimisation optimised fuzzy proportional⁃integral derivative controller for automatic gen⁃ eration control of interconnected power system [ J]. IET generation, transmission and distribution, 2014, 8( 11): 1789-1800. [42]CHIOU J P, CHANG C F, SU CT. Ant direction hybrid differential evolution for solving large capacitor placement problems[J]. IEEE transactions on power systems, 2004, 19(4): 1794-1800. [ 43 ] RUDOLPH G. Self⁃adaptive mutations may lead to premature convergence[J]. IEEE transactions on evolu⁃ tionary computation, 2001, 5(4): 410-414. [44 ] LAMPINEN J, ZELINKA I. On stagnation of the differential evolution algorithm [ C] / / Proceedings of the 6th International Mendel Conference on Soft Computing. Brno, Czech Republic, 2000: 76-83. [45]DAS S, KONAR A, CHAKRABORTY U K. Two improved differential evolution schemes for faster global search [ C ] / / Proceedings of the Genetic Evolutionary Computation. Washington DC, USA, 2005: 991-998. [46] STORN R. Differential evolution research⁃trends and open questions[ J]. Study in computational intelligence, 2008, 143: 1-31. [47]邓可,林杰,张鹏. 基于信息熵的异类多种群蚁群算法 [J].计算机工程与应用, 2008, 44(36): 16-19. DENG Ke, LIN Jie, ZHANG Peng. Multiple heterogeneous ant colonies algorithm based on information entropy [ J]. Computer engineering and applications, 2008, 44 ( 36): 16-19. [48]陈俊风,吴铁军.群体智能算法搜索策略的性质及对停 滞现象的影响[ J].系统工程理论与实践, 2013, 06: 1587-1595. CHEN Junfeng, WU Tiejun. The property of search strate⁃ gies of swarm intelligent algorithms and their influences on stagnation [ J]. Systems engineering⁃theory and practice, 2013, 06: 1587-1595. [49]GÄMPERLE R, MÜLLER S D, KOUMOUTSAKOS P. A parameter study for differential evolution [ M] / / Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Com⁃ putation, A. Grmela and N. E. Mastorakis, Eds. Interlaken, Switzerland: WSEAS Press, 2002: 293-298. [50]RÖNKKÖNEN J, KUKKONEN S, PRICE K V. Real⁃pa⁃ rameter optimization with differential evolution [ C] / / Pro⁃ ceedings of the IEEE Congress Evolutionary Computation. Edinburgh, UK, 2005, 1: 506-513. [51]WANG Y, CAI Z, ZHANG Q. Differential evolution with com⁃ posite trial vector generation strategies and control parameters[J]. IEEE transactions evolutionary computation, 2011, 15(1): 55-66. [52] WANG Y, CAI Z, ZHANG Q. Enhancing the search ability of differential evolution through orthogonal crossover [J]. Information science, 2012, 185(1): 153-177. [53]ELSAYED S M, SARKER R A, RAR T. Differential evo⁃ lution with automatic parameter configuration for solving the CEC2013 competition on real⁃parameter optimization [C] / / Proceedings of the IEEE Congress Evolution Com⁃ putation. Cancun, Mexico, 2013: 1932-1937. [54]LIU J, LAMPINEN J. A fuzzy adaptive differential evolution algorithm [ C ] / / Proceedings of the IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. Beijing, China, 2002, 9(6): 606-611. [55]BBASS H A. The self⁃adaptive Pareto differential evolution algorithm[C] / / Proceedings of the IEEE Congress on Evo⁃ lutionary Computation. Honolulu, HI, USA, 2002: 831-836. [56]TEO J. Exploring dynamic self⁃adaptive populations in dif⁃ ferential evolution[ J]. Soft computation, 2006, 10( 8): 673-686. [57] TANABE R, FUKUNAGA A. Success⁃history based pa⁃ rameter adaptation for differential evolution[C] / / Proceed⁃ ings of the IEEE Congress on Evolutionary Computation. Cancun, Mexico, 2013: 71-78. [58]TVRDÍK J, POLÁKOVÁR. Competitive differential evolution applied to CEC 2013 problems[C] / / Proceedings of the IEEE Congress on Evolutionary Computation. Cancun, Mexico, 2013: 1651-1657. [59]COELHO L S, AYALA H V H, FREIRE R Z. Population’s ·440· 智 能 系 统 学 报 第 12 卷
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