[1]SHARAPOV R R,LAPSHIN A V. Convergence of genetic algorithms[J]. Pattern Recognition and Image Analysis, 2006, 16(3):392-397.
[2]NICOARA E S. Mechanisms to avoid the premature convergence of genetic algorithms[J]. Bulletin of PG University of Ploiesti, Series Mathematics, Informatics, Physics, 2009, 61(1):87-96.
[3]SHENG Y, YI L, WEI Y. An improved genetic algorithm of fast realization in multimodal function optimizations[J]. Journal of Southwest University of Science and Technology, 2009,24(2):82-87.(盛鹰,易丽清,魏泳涛.一种快速实现多峰值函数优化的改进遗传算法[J]. 西南科技大学学报,2009,24(2):82-87.)
[4]RIGAL L, TRUFFET L. A new genetic algorithm specifically based on mutation and selection[J]. Advances in Applied Probability,2007, 39(1):141-161.
[5]ZHU S, SHAO G, WANG H. Immune genetic algorithm based on antibody injection[J]. Journal of Computer Applications, 2009,29(6):1536-1538 (朱思峰,邵国金,王华东.基于抗体注射的免疫遗传算法[J].计算机应用,2009,29(6):1536-1538.)
[6]CAO X, ZHENG Z, FAN L, et al. An improved genetic algorithm mixed with neural network[J]. Pattern Recognition and Artificial Intelligence, 1999,12(4):486-491.(曹先彬,郑振,范磊,等.融合神经网络的一种改进遗传算法[J].模式识别与人工智能,1999,12(4):486-491.)
[7]DING J, CHEN Z, YUAN Z. On the Markov convergence analysis for the combination of genetic algorithm and ant algorithm[J]. Acta Automatica Sinica, 2004, 30(4):629-634.(丁建立,陈增强,袁著祉.遗传算法与蚂蚁算法融合的马尔可夫收敛性分析[J]. 自动化学报,2004,30(4):629-634.)
[8]PAN W, DIAO H, JING Y. An improved real-value adaptive genetic algorithm[J]. Control and Decision, 2006,21(7):792-795.(潘伟,刁华宗,井元伟.一种改进的实数自适应遗传算法[J].控制与决策,2006,21(7):792-795.)
[9]ZHENG J, LYU H, WU J, et al. Convergence analysis of genetic algorithm based on space mating[J]. Pattern Recognition and Artificial Intelligence, 2010,23(5):639-645.(郑金华,吕卉,伍军,等. 基于空间交配遗传算法的收敛性分析[J]. 模式识别与人工智能,2010,23(5):639-645.)
[10]FU H, LI M. Bionic algorithm based on state-space model with application in bidding for power market[J]. Computing Technology and Automation, 2009,28(2):81-84.(付宏艳,李茂军. 基于状态空间模型的仿生算法在电力市场竞价中的应用[J]. 计算技术与自动化, 2009,28(2):81-84.)
[11]MAO Y. Multi-objective reactive power optimization based on bionic algorithm with state-space model[D]. Changsha: Changsha University of Science and Technology,2009.(毛盈旎. 基于状态空间模型仿生算法的多目标无功优化[D]. 长沙:长沙理工大学,2009.)
[12]LIN D, LI M, KOU J. On the convergence of real-coded genetic algorithms[J]. Journal of Computer Research and Development, 2000,37(11): 1321-1327.(林丹,李敏强,寇纪凇. 基于实数编码的遗传算法的收敛性研究[J]. 计算机研究与发展,2000,37(11):1321-1327.)
[13]ZHANG C, ZHENG J, QIAN J. Comparison of coding schemes for genetic algorithms[J]. Application Research of Computers, 2011,28(3):819-822. (张超群, 郑建国, 钱洁. 遗传算法编码方案比较[J]. 计算机应用研究, 2011, 28(3):819-822.) |