A New Approach to Solve Permutation Scheduling Problems with Ant Colony Optimization

Daniel Merkle, Martin Middendorf. A New Approach to Solve Permutation Scheduling Problems with Ant Colony Optimization. In Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, H. Tijink, editors, Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings. Volume 2037 of Lecture Notes in Computer Science, pages 484-494, Springer, 2001. [doi]

@inproceedings{MerkleM01:0,
  title = {A New Approach to Solve Permutation Scheduling Problems with Ant Colony Optimization},
  author = {Daniel Merkle and Martin Middendorf},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2037/20370484.htm},
  tags = {optimization, systematic-approach},
  researchr = {https://researchr.org/publication/MerkleM01%3A0},
  cites = {0},
  citedby = {0},
  pages = {484-494},
  booktitle = {Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings},
  editor = {Egbert J. W. Boers and Jens Gottlieb and Pier Luca Lanzi and Robert E. Smith and Stefano Cagnoni and Emma Hart and Günther R. Raidl and H. Tijink},
  volume = {2037},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-41920-9},
}