Swarm Intelligence: Foundations, Perspectives and Applications

  title={Swarm Intelligence: Foundations, Perspectives and Applications},
  author={Ajith Abraham and He Guo and Hongbo Liu},
  booktitle={Swarm Intelligent Systems},
This chapter introduces some of the theoretical foundations of swarm intelligence. We focus on the design and implementation of the Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms for various types of function optimization problems, real world applications and data mining. Results are analyzed, discussed and their potentials are illustrated. 
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Publications referenced by this paper.
Showing 1-10 of 27 references

Particle swarm optimization for image clustering

  • M Omran, P AEngelbrecht, A Salman
  • International Journal of Pattern Recognition and…
  • 2005
1 Excerpt

On the computation of all global minimizers through particle swarm optimization

  • K EParsopoulos, M NVrahatis
  • IEEE Transactions on Evolutionary Computation,
  • 2004
1 Excerpt

Particle swarm optimization recommender system

  • S Ujjin, J PBentley
  • Proceeding of IEEE International conference on…
  • 2003
2 Excerpts

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