Bio inspired computing models and algorithms Ch. 1. A gentle introduction to membrane systems and their computational properties Alberto Leporati ... [et al.] ch. 2. Results on computational complexity in bio inspired computing Mario J. Perez Jimenez ... [et al.] ch. 3. Integrative approaches for predicting microRNA function and prioritizing disease related microRNA using biological interaction networks Xuan Zhang and Xiangxiang Zeng ch. 4. Evolutionary algorithm for solving complex multiobjective optimization problems Ye Tian and Xingyi Zhang ch. 5. A bio inspired clustering model for anomaly detection in the mining industry Raymond Chiong ... [et al.] ch. 6. Picture generating models based on the splicing operation K. G. Subramanian G. Samdanielthompson and N. Gnanamalar David ch. 7. Fingerprint minutiae to fixed length bit string: a review of recent development Zhe Jin Wei Jing Wong and Andrew Beng Jin Teoh ch. 8. Platform for detection of ultra DNA signals (10 18 mol L) with DNA probe and nanomaterials Xun Wang and Ben Hoo Mook ch. 9. Deep autoencoders in pattern recognition: a survey Junfen Chen ... [et al.] ch. 10. Genetic algorithm: from promiscuity to monogamy Ting Yee Lim and Choo Jun Tan. Bio inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science biology and mathematics. The ideas provide abundant inspiration to construct high performance computing models and intelligent algorithms thus enabling powerful tools to solve real life problems. Written by world renowned researchers this compendium covers the most influential topics on BIC where the newly obtained algorithms developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well.