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

6. L. Grandinetti, F. Guerriero, G. Lepera and M. Mancini, “A niched genetic algorithm to solve a pollutant emission
reduction problem in the manufacturing industry: A case study”, Computers & Operations Research, Vol. 34, No. 7,
pp. 2191–2214, July 2007.
7. MaoGuo Gong, LiCheng Jiao, WenPing Ma and HaiFeng Du, “Multiobjective optimization using an immunodominance
and clonal selection inspired algorithm”, Science in China Series F–Information Sciences, Vol. 51, No. 8, pp. 1064–1082,
August 2008.
• Dragan Cvetkovic and Carlos A. Coello Coello, “Human Preferences and Their Applications in Evolutionary
Multi-Objective Optimization”, en Yaochu Jin (editor) Knowledge Incorporation in Evolutionary Computation,
Springer, pp. 479–502, Studies in Fuzziness and Soft Computing, Vol. 167, ISBN 3-540-22902-7,
2005.
1. David Coulot, Arnaud Pollet, Xavier Collilieux and Philippe Berio, “Global optimization of core station networks for
space geodesy: application to the referencing of the SLR EOP with respect to ITRF”, Journal of Geodesy, Vol. 84, No.
1, pp. 31–50, January 2010.
• Efrén Mezura-Montes and Carlos A. Coello Coello, “Constrained Optimization via Multiobjective Evolutionary
Algorithms”, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem
Solving from Nature: From Concepts to Applications, pp. 53–75, Springer, 2008, ISBN 978-3-540-72963-1.
1. Romanas Puisa and Heinrich Streckwall, “Prudent constraint-handling technique for multiobjective propeller optimisation”,
Optimization and Engineering, Vol. 12, No. 4, pp. 657–680, December 2011.
2. Andreas Konstantinidis and Kun Yang, “Multi-objective K-connected Deployment and Power Assignment in WSNs
using a problem-specific constrained evolutionary algorithm based on decomposition”, Computer Communications, Vol.
34, No. 1, pp. 83–98, January 15, 2011.
3. Yong Wang, Zixing Cai and Yuren Zhou, “Accelerating adaptive trade-off model using shrinking space technique for
constrained evolutionary optimization”, International Journal for Numerical Methods in Engineering, Vol. 77, No. 11,
pp. 1501–1534, March 2009.
4. Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann and Eckart Zitzler, “On the
Effects of Adding Objectives to Plateau Functions”, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 3,
pp. 591–603, July 2009.
Journals Internacionales
• Efrén Mezura-Montes and Carlos A. Coello Coello, “Constraint-Handling in Nature-Inspired Numerical
Optimization: Past, Present and Future”, Swarm and Evolutionary Computation, Vol. 1, No. 4, pp. 173–
194, December 2011.
1. Nebojsa Bacanin and Milan Tuba, “Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved
with Genetic Operators”, Studies in Informatics and Control, Vol. 21, No. 2, pp. 137–146, June 2012.
• Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, “A modified version of a T-Cell Algorithm
for constrained optimization problems”, International Journal for Numerical Methods in Engineering, Vol.
84, No. 3, pp. 351–378, 15 October 2010.
1. Amir Hossein Gandomi, Xin-She Yang, Siamak Talatahari and Suash Deb, “Coupled eagle strategy and differential
evolution for unconstrained and constrained global optimization”, Computers & Mathematics with Applications, Vol.
63, No. 1, pp. 191–200, January 2012.
• J.E. Mendoza, M.E. López, C.A. Coello Coello and E.A. López, “Microgenetic multiobjective reconfiguration
algorithm considering power losses and reliability indices for medium voltage distribution network”, IET
Generation, Transmission & Distribution, Vol. 3, No. 9, pp. 825-840, September 2009.
1. Peng Zhang, Wenyuan Li and Shouxiang Wang, “Reliability-oriented distribution network reconfiguration considering
uncertainties of data by interval analysis”, International Journal of Electrical Power & Energy Systems, Vol. 34, No. 1,
pp. 138–144, January 2012.
• Xiaolin Hu, Carlos A. Coello Coello and Zhangcan Huan, “A new multi-objective evolutionary algorithm:
neighbourhood exploring evolution strategy”, Engineering Optimization, Vol. 37, No. 4, pp. 351–379, June
2005.
46