Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem

@inproceedings{Parsopoulos2006StudyingTP,
  title={Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem},
  author={Konstantinos E. Parsopoulos and Michael N. Vrahatis},
  booktitle={Australian Conference on Artificial Intelligence},
  year={2006}
}
Swarm Intelligence algorithms have proved to be very effective in solving problems on many aspects of Artificial Intelligence. This paper constitutes a first study of the recently proposed Unified Particle Swarm Optimization algorithm on scheduling problems. More specifically, the Single Machine Total Weighted Tardiness problem is considered, and tackled through a scheme that combines Unified Particle Swarm Optimization and the Smallest Position Value technique for the derivation of job… CONTINUE READING
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