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Firefly Algorithm for Continuous Constrained Optimization Tasks

Published: 04 October 2009 Publication History

Abstract

The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm for constrained continuous optimization tasks. The presented technique is inspired by social behavior of fireflies and the phenomenon of bioluminescent communication. The first part of the paper is devoted to the detailed description of the existing algorithm. Then some suggestions for extending the simple scheme of the technique under consideration are presented. Subsequent sections concentrate on the performed experimental parameter studies and a comparison with existing Particle Swarm Optimization strategy based on existing benchmark instances. Finally some concluding remarks on possible algorithm extensions are given, as well as some properties of the presented approach and comments on its performance in the constrained continuous optimization tasks.

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Published In

cover image Guide Proceedings
ICCCI '09: Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
October 2009
857 pages
ISBN:9783642044403
  • Editors:
  • Ngoc Thanh Nguyen,
  • Ryszard Kowalczyk,
  • Shyi-Ming Chen

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 04 October 2009

Author Tags

  1. constrained continuous optimization
  2. firefly algorithm
  3. metaheuristics
  4. swarm intelligence

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