[1] 梁增友.炸药冲击损伤与起爆特性[M].北京:电子工业出版社, 2009.
[2] 郭虎, 罗景润.循环载荷下PBX力学行为研究[J].爆炸与冲击, 2013, 33(增刊1): 105-110. http://www.cnki.com.cn/Article/CJFDTOTAL-BZCJ2013S1019.htm

Guo Hu, Luo Jingrun. Mechanical behavior of PBX under cyclic loadings[J]. Explosion and Shock Waves, 2013, 33(Suppl 1):105-110. http://www.cnki.com.cn/Article/CJFDTOTAL-BZCJ2013S1019.htm
[3] Rauchs G, Bardon J. Identification of elasto-viscoplastic material parameters by indentation testing and combined finite element modelling and numerical optimization[J]. Finite Elements in Analysis and Design, 2011, 47(7):653-667. doi: 10.1016/j.finel.2011.01.008
[4] Springmann M, Kuna M. Identification of material parameters of the Gurson-Tvergaard-Needleman model by combined experimental and numerical techniques[J]. Computational Materials Science, 2005, 32(3/4):544-552. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=f907b29be395d8906bcc03bac71e5e48
[5] Chaparro B M, Thuillier S, Menezes L F, et al. Material parameters identification: Gradient-based, genetic and hybrid optimization algorithms[J]. Computational Materials Science, 2008, 44(2):339-346. doi: 10.1016/j.commatsci.2008.03.028
[6] Majzoobi G H, Dehgolan F R. Determination of the constants of damage models[J]. Procedia Engineering, 2011, 10:764-773. doi: 10.1016/j.proeng.2011.04.127
[7] Muñoz-Rojas P A, Cardoso E L, Vaz M. Parameter identification of damage models using genetic algorithms[J]. Experimental Mechanics, 2010, 50(5):627-634. doi: 10.1007/s11340-009-9321-y
[8] 陈炳瑞, 冯夏庭, 丁秀丽, 等.基于模式-遗传-神经网络的流变参数反演[J].岩石力学与工程学报, 2005, 24(4): 553-558. doi: 10.3321/j.issn:1000-6915.2005.04.002

Chen Bingrui, Feng Xiating, Ding Xiuli, et al. Back analysis on rheological parameters based on pattern-genetic-neural network[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(4):553-558. doi: 10.3321/j.issn:1000-6915.2005.04.002
[9] 高军, 黄再兴. PBX炸药粘弹性损伤本构模型的参数识别[J].工程力学, 2013, 30(7): 299-304. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gclx201307045

Gao Jun, Huang Zaixing. Parameter identification for viscoelastic damage constitutive model of PBX[J]. Engineering Mechanics, 2013, 30(7): 299-304. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gclx201307045
[10] Solano G J, Rodriguez V K, Garcia N D. Model-based spectral estimation of Doppler signals using parallel genetic algorithms[J]. Artificial Intelligence in Medicine, 2000, 19(1):75-89. doi: 10.1016/S0933-3657(99)00051-2
[11] 李守巨, 刘迎曦, 孙伟.智能计算与参数反演[M].北京:科学出版社, 2008.
[12] Cantu-Paz E. Designing efficient and accurate parallel genetic algorithms (parallel algorithms)[D]. University of Illinois at Urbana-Champaign, 1999. http://link.springer.com/978-1-4615-4369-5
[13] Potts J C, Giddens T D, Yadav S B. The development and evaluation of an improved genetic algorithm based on migration and artificial selection[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1994, 24(1):73-86. doi: 10.1109/21.259687
[14] 刘桂萍.基于微型遗传算法的多目标优化方法及应用研究[D].长沙: 湖南大学, 2008. http://cdmd.cnki.com.cn/Article/CDMD-10532-2008081553.htm
[15] Sheblé G B, Brittig K. Refined genetic algorithm-economic dispatch example[J]. IEEE Transactions on Power Systems, 1995, 10(1):117-124. doi: 10.1109/59.373934
[16] Paris P C, Erdogan F. A critical analysis of crack propagation laws[J]. Journal of Fluids Engineering, 1963, 85(4):528-533.