New inspirations in swarm intelligence: a survey. (1st January 2011)

• Record Type: Journal Article
• Authors: Parpinelli, R.S.; Lopes, H.S.
• Is Part Of: International journal of bio-inspired computation. Volume 3:Number 1(2011)
• Page Start: 1
• Page End: 16
• Publication Date: 2011-01-01
• Subjects: swarm intelligence -- new meta-heuristics -- bio-inspired algorithms -- problem solving methods -- biological behaviours -- social living beings; Biologically-inspired computing -- Periodicals; Computational biology -- Periodicals; 572.0285
• Languages: English
• ISSNs: 1758-0366

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.