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

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3. Yu Chen, Xiufen Zou and Weicheng Xie, “Convergence <strong>of</strong> multi-objective evolutionary algorithms <strong>to</strong> a uniformly distributed<br />

representation <strong>of</strong> the Pare<strong>to</strong> front”, Information Sciences, Vol. 181, No. 16, pp. 3336–3355, August 15,<br />

2011.<br />

• Vic<strong>to</strong>ria S. Aragón, Susana C. Esquivel and <strong>Carlos</strong> A. <strong>Coello</strong> <strong>Coello</strong>, “Optimizing Constrained Problems<br />

through a T-Cell Artificial Immune System”, Journal <strong>of</strong> Computer Science & Technology, Vol. 8, No. 3, pp.<br />

158–165, 2008.<br />

1. Zhuhong Zhang and Shuqu Qian, “Artificial immune system in dynamic environments solving time-varying non-linear<br />

constrained multi-objective problems”, S<strong>of</strong>t Computing, Vol. 15, No. 7, pp. 1333–1349, July 2011.<br />

• <strong>Carlos</strong> A. <strong>Coello</strong> <strong>Coello</strong>, “Evolutionary Multi-Objective Optimization: Some Current Research Trends and<br />

Topics <strong>that</strong> Remain <strong>to</strong> be Explored”, Frontiers <strong>of</strong> Computer Science in China, Vol. 3, No. 1, pp. 18–30,<br />

2009.<br />

1. C.W. Bong and M. Rajeswari, “Multiobjective clustering with metaheuristic: current trends and methods in image<br />

segmentation”, IET Image Processing, Vol. 6, No. 1, pp. 1–10, February 2012.<br />

2. Romanas Puisa and Heinrich Streckwall, “Prudent constraint-handling technique for multiobjective propeller optimisation”,<br />

Optimization and Engineering, Vol. 12, No. 4, pp. 657–680, December 2011.<br />

3. Chi Zhang, Jose Emmanuel Ramirez-Marquez and Claudio M. Rocco Sanseverino, “A holistic method for reliability<br />

performance assessment and critical components detection in complex networks”, IIE Transactions, Vol. 43, No. 9, pp.<br />

661–675, 2011.<br />

4. Claudio M. Rocco, Jose Emmanuel Ramirez-Marquez, Daniel E. Salazar and Cesar Yajure, “Assessing the Vulnerability<br />

<strong>of</strong> a Power System Through a Multiple Objective Contingency Screening Approach”, IEEE Transactions on Reliability,<br />

Vol. 60, No. 2, pp. 394–403, June 2011.<br />

5. Chin-Wei Bong and Mandava Rajeswari, “Multi-objective nature-inspired clustering and classification techniques for<br />

image segmentation”, Applied S<strong>of</strong>t Computing, Vol. 11, No. 4, pp. 3271–3282, June 2011.<br />

6. James Bekker and Chris Aldrich, “The cross-entropy method in multi-objective optimisation: An assessment”, European<br />

Journal <strong>of</strong> Operational Research, Vol. 211, No. 1, pp. 112–121, May 16, 2011.<br />

7. S.I. Sulaiman, T.K.A. Rahman and I. Musirin, “Multi-Objective Evolutionary Programming for Optimal Grid-Connected<br />

Pho<strong>to</strong>voltaic System Design”, International Review <strong>of</strong> Electrical Engineering–IREE, Part B, Vol. 5, No. 6, pp. 2936–<br />

2944, November-December 2010.<br />

• Luis V. Santana-Quintero, Alfredo G. Hernández-Díaz, Julián Molina, <strong>Carlos</strong> A. <strong>Coello</strong> <strong>Coello</strong> and Rafael<br />

Caballero, “DEMORS: A hybrid Multi-Objective Optimization Algorithm using Differential Evolution and<br />

Rough Sets for Constrained Problems”, Computers & Operations Research, Vol. 37, No. 3, pp. 470–480,<br />

March 2010.<br />

1. Feng Qian, Bing Xu, Rongbin Qi and Huaglory Tianfield, “Self-adaptive differential evolution algorithm with alphaconstrained-domination<br />

principle for constrained multi-objective optimization”, S<strong>of</strong>t Computing, Vol. 16, No. 8, pp.<br />

1353–1372, August 2012.<br />

2. Manuel Chica, Oscar Cordon and Sergio Damas, “An advanced multiobjective genetic algorithm design for the time and<br />

space assembly line balancing problem”, Computers & Industrial Engineering, Vol. 61, No. 1, pp. 103–117, August<br />

2011.<br />

3. Swagatam Das and Ponnuthurai Nagaratnam Suganthan, “Differential Evolution: A Survey <strong>of</strong> the State-<strong>of</strong>-the-Art”,<br />

IEEE Transactions on Evolutionary Computation, Vol. 15, No. 1, pp. 27–54, February 2011.<br />

• Nareli Cruz Cortés, Francisco Rodríguez-Henríquez and <strong>Carlos</strong> A. <strong>Coello</strong> <strong>Coello</strong>, “An Artificial Immune<br />

System Heuristic for Generating Short Addition Chains”, IEEE Transactions on Evolutionary Computation,<br />

Vol. 12, No. 1, pp. 1–24, February 2008.<br />

1. Yin Li, Gong-Liang Chen, Yi-Yang Chen and Jian-Hua Li, “An improvement <strong>of</strong> the TyT algorithm for GF(2(M)) Based<br />

on Reusing Intermediate Computation Results”, Communications in Mathematical Sciences, Vol. 9, No. 1, pp. 277–287,<br />

March 2011.<br />

• Guillermo Leguizamón and <strong>Carlos</strong> A. <strong>Coello</strong> <strong>Coello</strong>, “Boundary Search for Constrained Numerical Optimization<br />

Problems with an Algorithm Inspired on the Ant Colony Metaphor”, IEEE Transactions on Evolutionary<br />

Computation, Vol. 13, No. 2, pp. 350–368, April 2009.<br />

1. Abu S.S.M. Barkat Ullah, Ruhul Sarker and Chris Lokan, “Handling equality constraints in evolutionary optimization”,<br />

European Journal <strong>of</strong> Operational Research, Vol. 221, No. 3, pp. 480–490, September 16, 2012.<br />

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