SELECTED PUBLICATIONS AND TECHNICAL REPORTS
W. Cedeño and D. K. Agrafiotis (2005). "Particle Swarms for Drug Design", Proceedings of IEEE Congress on Evolutionary Computation, Edinburgh, UK, September 2-5, 2005.
J. F. McLoughlin III and W. Cedeño (2005). "The Enhanced Evolutionary Tabu Search and Its Application to the Quadratic Assignment Problem", Best Paper Nominee: Meta-heuristics and Local Search, Proceedings of Genetic and Evolutionary Computation Conference, Washigton D.C., USA, June 25-29, 2005.
W. Cedeño and D. K. Agrafiotis (2003), "Using particle swarms for the development of QSAR models based on k-nearest neighbor and kernel regression", J. Comput. Aid. Mol. Des., Volume 17, pp. 255-263, 2003.
W. Cedeño, and D. K. Agrafiotis (2002). Combining particle swarms and k-nearest neighbors for the development of quantitative structure-activity relationships, Int. J. Comput. Res., Volume 11, Number 4, pp. 443-452, 2003.
W. Cedeño and D. K. Agrafiotis, "Application of niching particle swarms to QSAR and QSPR", Proceedings of the 14-th European Symposium on QSAR, Bournemouth, UK, September 8-13, 2002.
D. K. Agrafiotis, W. Cedeño, and V. S. Lobanov (2001). On the use of neural network ensembles in QSAR and QSPR, J. Chem. Info. Comput. Sci., 2002, 42, 903-911. (PDF)
D. K. Agrafiotis and W. Cedeño (2001). Feature selection for QSAR and QSPR using binary particle swarms, J. Med. Chem., 2002, 45, 1098-1107. (PDF)
D. H. Wood, J. Chen, E. Antipov, B. Lemieux, and W. Cedeño (2000) A design for DNA computation of the OneMax problem, Volume 5, Issue 1, pp 19-24, Soft Computing, 2001. (PDF)
W. Cedeño and V. Vemuri (1999). Analysis of Speciation and Niching in the Multi-Niche Crowding GA. Special Issue on Evolutionary Computation in the Journal of Theoretical Computer Science, 229, 177-197. (PDF)
W. Cedeño and V. Vemuri (1997). Database design with genetic algorithms. D. Dasgupta and Z. Michalewicz (eds), Evolutionary Algorithms in Engineering Applications, Springer Verlag, 3/97, 189-206, ISBN: 3-540-62021-4. (PDF)
W. Cedeño and V. Vemuri (1997). On the use of niching for dynamic landscapes. Proceedings of the 1997 IEEE International Conference on Evolutionary Computation. (PDF)
V. Vemuri and W. Cedeño (1997). Industrial applications of genetic algorithms. Journal of Knowledge-based Intelligent Engineering Systems, Electronic Association of South Australia, 1(1): 1-12, January 1997.
V. Vemuri and W. Cedeño (1996). A new genetic algorithm for multi-objective optimization in water resource management. 1996 Knowledge-based Computer Systems, India, December 1996. (PDF)
W. Cedeño and V. Vemuri (1996). Genetic algorithms in aquifer management. Journal of Network and Computer Applications, 19, 171-187. (PDF)
W. Cedeño (1995). The Multi-Niche Crowding Genetic Algorithm: Analysis and Applications. Ph.D. Dissertation. Computer Science Department, University of California, Davis CA, September 1995. UMI Dissertation Services, Microfilm Number 9617947. (PDF)
W. Cedeño, V. Vemuri, and T. Slezak (1995). Multi-Niche crowding in genetic algorithms and its application to the assembly of DNA restriction-fragments. Evolutionary Computation, 2:4, 321-345, Winter 1994. (PDF)
V. Vemuri and W. Cedeño (1995). Multi-niche crowding for multimodal search. In L. Chambers (Ed.), Practical Handbook of Genetic Algorithms and Applications, volume II, CRC Press.
I. J. Dejter, W. Cedeño, and V. Jauregui (1993). A note on Frucht diagrams, Boolean graphs and Hamilton cycles. Discrete Mathematics, 114, no, 1-3, 131-135.
I. J. Dejter, W. Cedeño, and V. Jauregui (1992). Frucht Diagrams, Boolean Graphs and Hamilton Cycles, Scientia, Ser. A, Math. Sci., 5, 92-97.
W. Cedeño (1985). "Using Symmetry to Prove Hamiltonicity in Bipartite Graphs", M.S. Thesis, University of Puerto Rico, Rio Piedras, PR.
W. Cedeño (1984). "Exploiting Symmetry in Bipartite Graphs", 4th Interdisciplinary Science Meeting, University of Puerto Rico, Rio Piedras, PR.