Complex network analysis of firefly algorithm population dynamics
Document Type
Conference Proceeding
Department or Administrative Unit
Computer Science
Publication Date
11-27-2017
Abstract
This paper succeeds former work on complex networks formed by evolutionary algorithms dynamics, offering the insight into communication model of yet another type of swarm based algorithm, the Firefly Algorithm. FA's structure differs from that of Artificial Bee Colony Algorithm or Differential Evolution explored in preceding works, consequently also the population exhibits different communication patterns, posing a challenge to applying complex network analysis meaningfully. Three versions of Adaptive FA algorithm based on complex network analysis are presented, using the information obtained from vertex centralities to steer the population development in order to prevent premature convergence and stagnation. The experimentation conducted on 15 selected difficult multimodal optimisation problems shows that the FA benefits from utilization of complex network analysis derived information to augment the population dynamics.
Recommended Citation
Metlicka, M., & Davendra, D. (2017). Complex network analysis of firefly algorithm population dynamics. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci.2017.8285371
Journal
2017 IEEE Symposium Series on Computational Intelligence (SSCI)
Rights
Copyright © 2017, IEEE
Comments
This article was originally published in 2017 IEEE Symposium Series on Computational Intelligence (SSCI). The full-text article from the publisher can be found here.
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