Title: New inspirations in swarm intelligence: a survey

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.

DOI: 10.1504/IJBIC.2011.038700

International Journal of Bio-Inspired Computation, 2011 Vol.3 No.1, pp.1 - 16

Received: 26 Aug 2010
Accepted: 28 Aug 2010
Published online: 12 Nov 2014 *

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