[1] Marco Dorigo and Thomas St¨utzle, The ant colony optimization metaheuristic:Algorithms, applications, and advances, Handbook of metaheuristics, Springer,2003, pp. 250–285.
[2] Karl-Heinz Esser and Uwe Schmidt, Mother-infant communication in the lesser spear-nosed bat phyllostomus discolor (chiroptera, phyllostomidae) evidence for acoustic learning, Ethology 82 (1989), no. 2, 156–168.
[3] Pierre Jouventin, Thierry Aubin, and Thierry Lengagne, Finding a parent in a king penguin colony: the acoustic system of individual recognition, Animal Be-haviour 57 (1999), no. 6, 1175–1183.
[4] Jorge Nocedal and SJ Wright, Numerical optimization: Springer series in opera-tions research and financial engineering, Springer-Verlag (2006).
[5] Shi-Ryong Park and Dae Sik Park, Acoustic communication of the black-tailed gull (lams crassirostris): the structure and behavioral context of vocalizations, Korean J Bid Sci 1 (1997), 565–569.
[6] J Dreo A Petrowski and P Siarry E Taillard, Metaheuristics for hard optimization, 2006.
[7] Xin-She Yang, Firefly algorithm, Engineering Optimization (2010), 221–230.
[8] Xin-She Yang, A new metaheuristic bat-inspired algorithm, Nature inspired co-operative strategies for optimization (NICSO 2010), Springer, 2010, pp. 65–74.
[9] Xin-She Yang and Xingshi He, Bat algorithm: literature review and applications, International Journal of Bio-Inspired Computation 5 (2013), no. 3, 141–149.
[10] LIU Ying, Jiang Feng, Yun Lei Jiang, and Lei WU1and Ke Ping SUN, Vocal-ization development of greater horseshoe bat, rhinolophus ferrumequinum (rhi-nolophidae, chiroptera), Folia Zool 56 (2007), no. 2, 126–136.
[11] Qi Yue, John H. Casseday, and Ellen Covey, Response properties and location of neurons selective for sinusoidal frequency modulations in the inferior colliculus of the big brown bat, 98 (2007), no. 3, 1364–1373.
)