TY - JOUR AU - Molina, Daniel AU - Poyatos, Javier AU - Ser, Javier Del AU - GarcĂ­a, Salvador AU - Hussain, Amir AU - Herrera, Francisco PY - 2020 DO - 10.1007/s12559-020-09730-8 SN - 1866-9956 AB - In recent algorithmic family simulates different biological processes observed in Nature in order to efficiently address complex optimization problems. In the last years the number of bio-inspired optimization approaches in literature has grown... LA - eng TI - Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations TY - journal article ER -