Citations to Publications of Dr. Carlos A. Coello Coello that appear ...

659. B. Qian, L. Wang, D.X. Huang and X. Wang, “Multi-objective flow shop scheduling using differential evolution”,
Intelligent Computing in Signal Processing and Pattern Recognition, Springer-Verlag, pp. 1125–1136, Lecture Notes in
Control and Information Sciences Vol. 345, 2006.
660. F. Luna, A.J. Nebro and E. Alba, “Observations in using Grid-enabled technologies for solving multi-objective optimization
problems”, Parallel Computing, Vol. 32, Nos. 5-6, pp. 377–393, June 2006.
661. E. Nobile, F. Pinto and G. Rizzetto, “Geometric parameterization and multiobjective shape optimization of convective
periodic channels”, Numerical Heat Transfer Part B–Fundamentals, Vol. 50, No. 5, pp. 425–453, November 2006.
662. J.G. Villegas, F. Palacios and A.L. Medaglia, “Solution methods for the bi-objective (cost-coverage) unconstrained
facility location problem with an illustrative example”, Annals of Operations Research, Vol. 147, No. 1, pp. 109–141,
October 2006.
663. D.T. Pham and M. Castellani, “Evolutionary learning of fuzzy models”, Engineering Applications of Artificial Intelligence,
Vol. 19, No. 6, pp. 583–592, September 2006.
664. K.C. Tan, Y.J. Yang and C.K. Goh, “A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization”,
IEEE Transactions on Evolutionary Computation, Vol. 10, No. 5, pp. 527–549, October 2006.
665. J.L. Bernal-Agustin, R. Dufo-Lopez and D.M. Rivas-Ascaso, “Design of isolated hybrid systems minimizing costs and
pollutant emissions”, Renewable Energy, Vol. 31, No. 14, pp. 2227–2244, November 2006.
666. F. Jimenez, J.M. Cadenas, G. Sanchez, A.F. Gomez-Skarmeta and J.L. Verdegay, “Multi-objective evolutionary computation
and fuzzy optimization”, International Journal of Approximate Reasoning, Vol. 43, No. 1, pp. 59–75, September
2006.
667. F. Berlanga, M.J. del Jesus, P. Gonzalez, F. Herrera and M. Mesonero, “Multiobjective evolutionary induction of
subgroup discovery fuzzy rules: A case study in marketing”, Advances in Data Mining, pp. 337–349, Springer-Verlag,
Lecture Notes in Artificial Intelligence Vol. 4065, 2006.
668. A.S. Kurup, K. Hidajat and A.K. Ray, “Comparative study of modified simulated moving bed systems at optimal
conditions for the separation of ternary mixtures of xylene isomers”, Industrial & Engineering Chemistry Research, Vol.
45, No. 18, pp. 6251–6265, August 30, 2006.
669. T. Biondi, A. Ciccazzo, V. Cutello, S. D’Antona, G. Nicosia and S. Spinella, “Multi-objective evolutionary algorithms
and pattern search methods for circuit design problems”, Journal of Universal Computer Science, Vol. 12, No. 4, pp.
432–449, 2006.
670. R. Kumar and N. Banerjee, “Analysis of a Multiobjective Evolutionary Algorithm on the 0-1 knapsack problem”,
Theoretical Computer Science, Vol. 358, No. 1, pp. 104–120, July 31, 2006.
671. Y. Tang, P. Reed and T. Wagener, “How effective and efficient are multiobjective evolutionary algorithms at hydrologic
model calibration?”, Hydrology and Earth System Sciences, Vol. 10, No. 2, pp. 289–307, 2006.
672. J.B. Kollat and P.M. Reed, “Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater
monitoring design”, Advances in Water Resources, Vol. 29, No. 6, pp. 792–807, June 2006.
673. B.M. Hodge, F. Pettersson and N. Chakraborti, “Re-evaluation of the optimal operating conditions for the primary end
of an integrated steel plant using multi-objective genetic algorithms and Nash equilibrium”, Steel Research International,
Vol. 77, No. 7, pp. 459–461, July 2006.
674. P. Nikitas, A. Pappa-Louisi and P. Agrafiotou, “Multilinear gradient elution optimisation in reversed-phase liquid chromatography
using genetic algorithms”, Journal of Chromatography A, Vol. 1120, Nos. 1–2, pp. 299–307, July 7, 2006.
675. L. Siwik and M. Kisiel-Dorohinicki, “Semi-elitist evolutionary multi-agent system for multiobjective optimization”,
Computational Science – ICCS 2006, Pt 3, Proceedings, pp. 831–838, Springer-Verlag, Lecture Notes in Computer
Science Vol. 3993, 2006.
676. J. Balicki, “Negative selection with ranking procedure in tabu-based multi-criterion evolutionary algorithm for task
assignment”, Computational Science - ICCS 2006, Pt 3, Proceedings, pp. 863–870, Springer-Verlag, Lecture Notes in
Computer Science Vol. 3993, 2006.
677. N. Nariman-Zadeh, A. Darvizeh and A. Jamali, “Pareto optimization of energy absorption of square aluminium columns
using multi-objective genetic algorithms”, Proceedings of the Institution of Mechanical Engineers Part B–Journal of
Engineering Manufacture, Vol. 220, No. 2, pp. 213–224, February 2006.
678. P. Lacomme, C. Prins and M. Sevaux, “A genetic algorithm for a bi-objective capacitated arc routing problem”, Computers
& Operations Research, Vol. 33, No. 12, pp. 3473–3493, December 2006.
679. H.S. Kim and P.N. Roschke, “Fuzzy control of base-isolation system using multi-objective genetic algorithm”, Computer-
Aided Civil and Infrastructure Engineering, Vol. 21, No. 6, pp. 436–449, August 2006.
680. R. Romero-Zaliz, C. Rubio-Escudero, O. Cordon, O. Harari, C. del Val and I. Zwir, “Mining structural databases:
An evolutionary multi-objetive conceptual clustering methodology”, in Applications of Evolutionary Computing, pp.
159–171, Springer, Lecture Notes in Computer Science Vol. 3907, 2006.
34