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

1. Carlos Cruz, Juan R. Gonzalez and David A. Pelta, “Optimization in dynamic environments: a survey on problems,
methods and measures”, Soft Computing, Vol. 15, No. 7, pp. 1427–1448, July 2011.
• Fabio Freschi, Carlos A. Coello Coello and Maurizio Repetto, “Multiobjective Optimization and Artificial
Immune Systems: A Review”, in Hongwei Mo (editor), Handbook of Research on Artificial Immune Systems
and Natural Computing: Applying Complex Adaptive Technologies, Chapter I, pp. 1–21, Medical Information
Science Reference, Hershey, USA, 2009, ISBN 978-1-60566-310-4.
1. Arnaud Zinflou, Caroline Gagne and Marc Gravel, “GISMOO: A new hybrid genetic/immune strategy for multipleobjective
optimization”, Computers & Operations Research, Vol. 39, No. 9, pp. 1951–1968, September 2012.
2. Zhuhong Zhang and Shuqu Qian, “Artificial immune system in dynamic environments solving time-varying non-linear
constrained multi-objective problems”, Soft Computing, Vol. 15, No. 7, pp. 1333–1349, July 2011.
• Efrén Mezura-Montes, Margarita Reyes-Sierra and Carlos A. Coello Coello, “Multi-Objective Optimization
using Differential Evolution: A Survey of the State-of-the-Art”, in Uday K. Chakraborty (editor), Advances
in Differential Evolution, Chapter 7, pp. 173–196, Springer-Verlag, Berlin, Germany, 2008, ISBN 978-3-540-
68827-3.
1. Feng Qian, Bing Xu, Rongbin Qi and Huaglory Tianfield, “Self-adaptive differential evolution algorithm with alphaconstrained-domination
principle for constrained multi-objective optimization”, Soft Computing, Vol. 16, No. 8, pp.
1353–1372, August 2012.
2. Chunhua Peng, Huijuan Sun, Jianfeng Guo and Gang Liu, “Multi-objective optimal strategy for generating and bidding
in the power market”, Energy Conversion and Management, Vol. 57, pp. 13–22, May 2012.
3. 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.
4. Ferrante Neri and Ville Tirronen, “Recent advances in differential evolution: a survey and experimental analysis”,
Artificial Intelligence Review, Vol. 33, Nos. 1-2, pp. 61–106, February 2010.
• Luis V. Santana-Quintero, Noel Ramírez-Santiago and Carlos A. Coello Coello, “Towards a More Efficient
Multi-Objective Particle Swarm Optimizer”, in Lam Thu Bui and Sameer Alam (editors), Multi-Objective
Optimization in Computational Intelligence: Theory and Practice, Chapter IV, pp. 76–105, Information
Science Reference, Hershey, USA, 2008, ISBN 978-1-59904-498-9.
1. Miltiadis Kotinis, “Implementing co-evolution and parallelization in a multi-objective particle swarm optimizer”, Engineering
Optimization, Vol. 43, No. 6, pp. 635–656, June 2011.
• Antonio López Jaimes and Carlos A. Coello Coello, “Multi-Objective Evolutionary Algorithms: A Review
of the State-of-the-Art and some of their Applications in Chemical Engineering”, in Rangaiah Gade Pandu
(editor), Multi-Objective Optimization Techniques and Applications in Chemical Engineering, Chapter 3, pp.
61–90, World Scientific, Singapore, 2009, ISBN 978-981-283-651-9.
1. J. Novo, M.G. Penedo and J. Santos, “Evolutionary multiobjective optimization of Topological Active Nets”, Pattern
Recognition Letters, Vol. 31, No. 13, pp. 1781–1794, October 1, 2010.
• Carlos A. Coello Coello, “Evolutionary Multi-Objective Optimization in Finance”, in Jean-Philippe Rennard
(editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 74–88,
Vol. I, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.
1. K. Metaxiotis and K. Liagkouras, “Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive
literature review”, Expert Systems with Applications, Vol. 39, No. 14, pp. 11685–11698, October 15, 2012.
2. Chao Song, Ming Liu, Jiannong Cao, Yuan Zheng, Haigang Gong and Guihai Chen, “Maximizing network lifetime
based on transmission range adjustment in wireless sensor networks”, Computer Communications, Vol. 32, No. 11, pp.
1316–1325, July 3, 2009.
3. A. Slowik and J. Slowik, “Multi-objective optimization of surface grinding process with the use of evolutionary algorithm
with remembered Pareto set”, The International Journal of Advanced Manufacturing Technology, Vol. 37, Nos. 7–8, pp.
657–669, June 2008.
• Carlos A. Coello Coello, “20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done
and What Remains to be Done”, in Gary Y. Yen and David B. Fogel (editors), Computational Intelligence:
Principles and Practice, Chapter 4, pp. 73–88, IEEE Computational Intelligence Society, 2006, ISBN 0-
9787135-0-8.
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