Evolutionary Algorithms for Real World Applications

IEEE Computational Intelligence Magazine

Volumn 3, Issue 1, 2008, Pages 64-67

  Bäck, Thomas ^a   Emmerich, M ^a   Shir, O M ^a  

^a LEIDEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85008041899     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2007.913378     Document Type: Article

References (7)

1. D.B. Fogel, Evolving Artificial Intelligence. PhD Thesis, University of California, San Diego, 1992.
2. H.-P. Schwefel, “Numerische optimierung von computer- modellen mittels der evolutionsstrategie,” Interdisciplinary Systems Research, vol. 26, Birkhäuser, Basel, 1977.
3. O.M. Shir, M. Emmerich, and T. Bäck, “Self-adaptive niching CMA-ES with mahalanobis metric,” Proceedings of IEEE-CEC 2007, Singapore, IEEE Press (CDROM).
4. O.M. Shir, M. Emmerich, T. Bäck, and M.J.J. Vrakking, “Conceptual Designs in Laser Pulse Shaping Obtained by Niching in Evolution Strategies,” EUROGEN 2007, Finland (CD-ROM).
5. O.M. Shir, M. Emmerich, T. Bäck and M.J.J. Vrakking, “The application of evolutionary multi-criteria optimization to dynamic molecular alignment,” Proceedings of IEEE-CEC 2007, Singapore, IEEE Press (CD-ROM).
6. R. Li, M.T.M. Emmerich, J. Eggermont, E.G.P. Bovenkamp, T. Bäck, J. Dijkstra, and J.H.C. Reiber, “Mixed-integer optimization of coronary vessel image analysis using evolution strategies,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2006.
7. M. Urselmann, M.T.M. Emmerich, J. Till, G. Sand, S. Engell, “Design of problem-specific EA/MIP hybrids: Twostage stochastic integer programming applied to chemical batch scheduling,” Engineering Optimization, vol. 39, no. 5, pp. 529–549, 2007.