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 optimization 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. Copyright © 2011 Inderscience Enterprises Ltd.
CITATION STYLE
Parpinelli, R. S., & Lopes, H. S. (2011). New inspirations in swarm intelligence: A survey. International Journal of Bio-Inspired Computation. Inderscience Enterprises Ltd. https://doi.org/10.1504/IJBIC.2011.038700
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