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

3. Deo Vidyarthi and Lutfi Khanbary, “Multi-objective optimization for channel allocation in mobile computing using
NSGA-II”, International Journal of Network Management, Vol. 21, No. 3, pp. 247–266, May 2011.
4. J.R. Jimenez-Octavio, O. Lopez-Garcia, E. Pilot and A. Carnicero, “Coupled electromechanical optimization of power
transmission”, CMES-Computer Modeling in Engineering & Sciences, Vol. 25, No. 2, pp. 81–97, February 2008.
5. J.M. Herrero, X. Blasco, M. Martinez, C. Ramos and J. Sanchis, “Non-linear robust identification of a greenhouse model
using multi-objective evolutionary algorithms”, Biosystems Engineering, Vol. 98, No. 3, pp. 335–346, 2007.
6. Daniel E. Salazar and Claudio M. Rocco, “Solving advanced multi-objective robust designs by means of multiple objective
evolutionary algorithms (MOEA): A reliability application”, Reliability Engineering & System Safety, Vol. 92, No. 6,
pp. 697–706, June 2007.
7. Diego Sal and Manuel Graña, “Hyperspectral image watermarking with an evolutionary algorithm”, Knowledge-Based
Intelligent Information and Engineering Systems, Pt 1, Proceedings, pp. 833–839, Springer, Lecture Notes in Artificial
Intelligence Vol. 3681, 2005.
8. Yujia Wang and Yupu Yang, “Particle swarm optimization with preference order ranking for multi-objective optimization”,
Information Sciences, Vol. 179, No. 12, pp. 1944–1959, May 30, 2009.
9. J.M. Herrero, S. Garcia-Nieto, X. Blasco, V. Romero-Garcia, J.V. Sanchez-Perez, L.M. Garcia-Raffi, “Optimization of
sonic crystal attenuation properties by ev-MOGA multiobjective evolutionary algorithm”, Structural and Multidisciplinary
Optimization, Vol. 39, No. 2, pp. 203–215, August 2009.
10. R. Alcala, M.J. Gacto, F. Herrera and J. Alcala-Fdez, “A multi-objective genetic algorithm for tuning and rule selection
to obtain accurate and compact linguistic fuzzy rule-based systems”, International Journal of Uncertainty Fuzziness and
Knowledge-Based Systems, Vol. 15, No. 5, pp. 539–557, October 2007.
• Carlos A. Coello Coello, “Recent Trends in Evolutionary Multiobjective Optimization”, in Ajith Abraham,
Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances
And Applications, pp. 7–32, Springer-Verlag, London, 2005, ISBN 1-85233-787-7.
1. Renata Furtuna, Silvia Curteanu and Carmen Racles, “NSGA-II-RJG applied to multi-objective optimization of polymeric
nanoparticles synthesis with silicone surfactants”, Central European Journal of Chemistry, Vol. 9, No. 6, pp.
1080–1095, December 2011.
2. Wenping Zou, Yunlong Zhu, Hanning Chen and Beiwei Zhang, “Solving Multiobjective Optimization Problems Using
Artificial Bee Colony Algorithm”, Discrete Dynamics in Nature and Society, Article Number: 569784, 2011.
3. Nhu Binh Ho and Joc Cing Tay, “Solving multiple-objective flexible job shop problems by evolution and local search”,
IEEE Transactions on Systems, Man, and Cybernetics Part C–Applications and Reviews, Vol. 38, No. 5, pp. 674–685,
September 2008.
4. Joc Cing Tay and Nhu Binh Ho, “Evolving dispatching rules using genetic programming for solving multi-objective
flexible job-shop problems”, Computers & Industrial Engineering, Vol. 54, No. 3, pp. 453–473, April 2008.
5. Hui Li and Qingfu Zhang, “A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization
with Variable Linkages”, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós,
L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference,
pp. 583–592, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006.
6. I. Alberto and P.M. Mateo, “A crossover operator that uses Pareto optimality in its definition”, TOP, Vol. 19, No. 1,
pp. 67–92, July 2011.
7. Renata Furtuna, Silvia Curteanu and Florin Leon, “An elitist non-dominated sorting genetic algorithm enhanced with a
neural network applied to the multi-objective optimization of a polysiloxane synthesis process”, Engineering Applications
of Artificial Intelligence, Vol. 24, No. 5, pp. 772–785, August 2011.
8. Hiroshi Wada, Junichi Suzuki, Yuji Yamano and Katsuya Oba, “Evolutionary deployment optimization for serviceoriented
clouds”, Software–Practice & Experience, Vol. 41, No. 5, pp. 469–493, April 2011.
9. Juan C. Vidal, Manuel Mucientes, Alberto Bugarín and Manuel Lama, “Machine scheduling in custom furniture industry
through neuro-evolutionary hybridization”, Applied Soft Computing, Vol. 11, No. 2, pp. 1600–1613, March 2011.
10. Yixiong Feng, Bing Zheng and Zhongkai Li, “Exploratory study of sorting particle swarm optimizer for multiobjective
design optimization”, Mathematical and Computer Modelling, Vol. 52, Nos. 11-12, pp. 1966–1975, December 2010.
11. Miguel Rocha, Pedro Sousa, Paulo Cortez and Miguel Rio, “Quality of Service constrained routing optimization using
Evolutionary Computation”, Applied Soft Computing, Vol. 11, No. 1, pp. 356–364, January 2011.
12. Ricardo Perera and Sheng-En Fang, “Influence of Objective Functions in Structural Damage Identification using Refined
and Simple Models”, International Journal of Structural Stability and Dynamics, Vol. 9, No. 4, pp. 607–625, December
2009.
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