Title: A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms

Authors: Rafael Stubs Parpinelli; Guilherme Felippe Plichoski; Renan Samuel Da Silva; Pedro Henrique Narloch

Addresses: Graduate Program in Applied Computing, Santa Catarina State University, Joinville, SC, Brazil ' Graduate Program in Applied Computing, Santa Catarina State University, Joinville, SC, Brazil ' Graduate Program in Applied Computing, Santa Catarina State University, Joinville, SC, Brazil ' Graduate Program in Applied Computing, Santa Catarina State University, Joinville, SC, Brazil

Abstract: The two major groups representing biologically inspired algorithms are swarm intelligence (SI) and evolutionary computation (EC). Both SI and EC share common features such as the use of stochastic components during the optimisation process and various parameters for configuration. The setup of parameters in swarm and in evolutionary algorithms has an important role in defining their behaviour, guiding the search and biasing the quality of final solutions. In addition, an appropriate setting for the parameters may change during the optimisation process making this task even harder. The present work brings an up-to-date discussion focusing on online parameter control strategies applied in SI and EC. Also, this review analyses and points out the key techniques and algorithms used and suggests some directions for future research.

Keywords: parameter control; bio-inspired algorithms; meta-heuristics; natural computing; parameterless algorithms.

DOI: 10.1504/IJBIC.2019.097731

International Journal of Bio-Inspired Computation, 2019 Vol.13 No.1, pp.1 - 20

Received: 25 Jan 2018
Accepted: 09 Aug 2018

Published online: 06 Feb 2019 *

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