Swarm Intelligence Algorithms Review

· completed · evolutionary-algorithms optimization literature-review

Objective

Review and compare different swarm intelligence algorithms for optimization problems.

Algorithms Reviewed

  1. Particle Swarm Optimization (PSO)
  2. Ant Colony Optimization (ACO)
  3. Artificial Bee Colony (ABC)

Key Findings

  • PSO: Fast convergence but prone to local optima
  • ACO: Excellent for discrete problems (TSP, routing)
  • ABC: Good balance between exploration and exploitation

Applications

Best suited for multi-objective optimization in my research context.

References

  • Kennedy & Eberhart (1995) - PSO original paper
  • Dorigo et al. (1996) - ACO framework