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

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617. R. Nandan, R. Rai, R. Jayakanth, S. Moitra, N. Chakraborti and A. Mukhopadhyay, “Regulating crown and flatness during<br />

hot rolling: A multiobjective optimization study using genetic algorithms”, Materials and Manufacturing Processes,<br />

Vol. 20, No. 3, pp. 459–478, 2005.<br />

618. A. Kumar, D. Sahoo, S. Chakraborty and N. Chakraborti. “Gas injection in steelmaking vessels: Coupling a fluid<br />

dynamic analysis with a genetic algorithms-based pare<strong>to</strong>-optimality”, Materials and Manufacturing Processes, Vol. 20,<br />

No. 3, pp. 363–379, 2005.<br />

619. C. Romero, S. Ventura and P. De Bra, “Knowledge discovery with genetic programming for providing feedback <strong>to</strong><br />

courseware authors”, User Modeling and User-Adapted Interaction, Vol. 14, No. 5, pp. 425–464, 2004.<br />

620. J. Mendoza, R. Lopez and D. Morales, “Minimal loss reconfiguration using genetic algorithms with restricted population<br />

and addressed opera<strong>to</strong>rs: Real application”, IEEE Transactions on Power Systems, Vol. 21, No. 2, pp. 948–954, May<br />

2006.<br />

621. S.H. Sun, K.F. Man, B.Z. Wang, et al., “An optimazed wideband quarter-wave patch antenna design”, IEEE Antennas<br />

and Wireless Propagation Letters, Vol. 4, pp. 486–488, 2005.<br />

622. J.A. Covas and A. Gaspar-Cunha, “Optimisation-based design <strong>of</strong> extruders” , Plastics Rubber and composites, Vol. 33,<br />

No. 9-10, pp. 416–425, 2004.<br />

623. M. Koppen, “On the benchmarking <strong>of</strong> multiobjective optimization algorithm”, Knowledge-Based Intelligent Information<br />

and Engineering Systems, Pt 1, Proceedings, pp. 379–385, Springer, Lecture Notes in Artificial Intelligence Vol. 2773,<br />

2003.<br />

624. P. Kumar, D. Gospodaric and P. Bauer, “Improved genetic algorithm inspired by biological evolution”, S<strong>of</strong>t Computing,<br />

Vol. 11, No. 10, pp. 923–941, August 2007.<br />

625. Christian Igel, Nikolaus Hansen and Stefan Roth, “Covariance Matrix Adaptation for Multi-objective Optimization”,<br />

Evolutionary Computation, Vol. 15, No. 1, pp. 1–28, Spring 2007.<br />

626. S.R. Jangam and N. Chakraborti, “A novel method for alignment <strong>of</strong> two nucleic acid sequences using ant colony optimization<br />

and genetic algorithms”, Applied S<strong>of</strong>t Computing, Vol. 7, No. 3, pp. 1121–1130, June 2007.<br />

627. Martin Josef Geiger, “On opera<strong>to</strong>rs and search space <strong>to</strong>pology in multi-objective flow shop scheduling”, European Journal<br />

<strong>of</strong> Operational Research, Vol. 181, No. 1, pp. 195–206, August 16, 2007.<br />

628. T.M. Chan, K.F. Man, K.S. Tang and S. Kwong, “A jumping-genes paradigm for optimizing fac<strong>to</strong>ry WLAN network”,<br />

IEEE Transactions on Industrial Informatics, Vol. 3, No. 1, pp. 33–43, February 2007.<br />

629. E.-G. Talbi, S. Cahon and N. Melab, “Designing cellular networks using a parallel hybrid metaheuristic on the computational<br />

grid”, Computer Communications, Vol. 30, No. 4, pp. 698–713, February 26, 2007.<br />

630. K. Atashkari, N. Nariman-Zadeh, M. Golcu, A. Khalkhali and A. Jamali, “Modelling and multi-objective optimization<br />

<strong>of</strong> a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms”, Energy<br />

Conversion and Management, Vol. 48, No. 3, pp. 1029–1041, March 2007.<br />

631. Karl Doerner, Axel Focke and Walter J. Gutjahr, “Multicriteria <strong>to</strong>ur planning for mobile healthcare facilities in a<br />

developing country”, European Journal <strong>of</strong> Operational Research, Vol. 179, No. 3, pp. 1078–1096, June 16, 2007.<br />

632. Hisao Ishibuchi and Yusuke Nojima, “Analysis <strong>of</strong> interpretability-accuracy trade<strong>of</strong>f <strong>of</strong> fuzzy systems by multiobjective<br />

fuzzy genetics-based machine learning”, International Journal <strong>of</strong> Approximate Reasoning, Vol. 44, No. 1, pp. 4–31,<br />

January 2007.<br />

633. L. Grandinetti, F. Guerriero, G. Lepera and M. Mancini, “A niched genetic algorithm <strong>to</strong> solve a pollutant emission<br />

reduction problem in the manufacturing industry: A case study”, Computers & Operations Research, Vol. 34, No. 7,<br />

pp. 2191–2214, July 2007.<br />

634. Brian J. Ross and Eduardo Zuviria, “Evolving dynamic Bayesian networks with multi-objective genetic algorithms”,<br />

Applied Intelligence, Vol. 26, No. 1, pp. 13–23, February 2007.<br />

635. Lam T. Bui, Kalyanmoy Deb, Hussein A. Abbass and Daryl Essam, “Dual Guidance in Evolutionary Multi-objective<br />

Optimization by Localization”, Simulated Evolution and Learning, SEAL 2006, pp. 384–391, Springer, Lecture Notes in<br />

Computer Science Vol. 4247, Hefei, China, Oc<strong>to</strong>ber, 2006.<br />

636. Miguel A. Martinez, Javier Sanchis and Xavier Blasco, “Multiobjective controller design handling human preferences”,<br />

Engineering Applications <strong>of</strong> Artificial Intelligence, Vol. 19, No. 8, pp. 927–938, December 2006.<br />

637. Pedro P.B. de Oliveira, Jose C. Bor<strong>to</strong>t and Gina M. B. Oliveira, “The best currently known class <strong>of</strong> dynamically<br />

equivalent cellular au<strong>to</strong>mata rules for density classification”, Neurocomputing, Vol. 70, Nos. 1–3, pp. 35–43, December<br />

2006.<br />

638. Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima, “Finding simple fuzzy classification systems with high interpretability<br />

through multiobjective rule selection”, Knowledge-Based Intelligent Information and Engineering Systems,<br />

Pt 2, Proceedings, pp. 86–93, Springer, Lecture Notes in Artificial Intelligence Vol. 4252, 2006.<br />

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