Authors: R.S. Parpinelli, H.S. Lopes
Addresses: Bioinformatics Laboratory, Federal University of Technology – Parana (UTFPR), Curitiba (PR), 80230-901, Brazil; Applied Cognitive Computing Group, Santa Catarina State University (UDESC), Joinville (SC), 89223-100, Brazil. ' Bioinformatics Laboratory, Federal University of Technology – Parana (UTFPR), Curitiba (PR), 80230-901, Brazil
Abstract: The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Evolutionary computation and swarm intelligence meta-heuristics are outstanding examples that nature has been an unending source of inspiration. The behaviour of bees, bacteria, glow-worms, fireflies, slime moulds, cockroaches, mosquitoes and other organisms have inspired swarm intelligence researchers to devise new optimisation algorithms. This tutorial highlights the most recent nature-based inspirations as metaphors for swarm intelligence meta-heuristics. We describe the biological behaviours from which a number of computational algorithms were developed. Also, the most recent and important applications and the main features of such meta-heuristics are reported.
Keywords: swarm intelligence; new metaheuristics; bio-inspired computation; problem solving methods; biological behaviours; social living beings; optimisation.
International Journal of Bio-Inspired Computation, 2011 Vol.3 No.1, pp.1 - 16
Available online: 23 Feb 2011Full-text access for editors Access for subscribers Purchase this article Comment on this article