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

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749. Yujia Wang and Yupu Yang, “Particle swarm optimization with preference order ranking for multi-objective optimization”,<br />

Information Sciences, Vol. 179, No. 12, pp. 1944–1959, May 30, 2009.<br />

750. Yujia Wang and Yupu Yang, “Particle swarm with equilibrium strategy <strong>of</strong> selection for multi-objective optimization”,<br />

European Journal <strong>of</strong> Operational Research, Vol. 200, No. 1, pp. 187–197, January 1, 2010.<br />

751. Baidurya Bhattacharya, G.R. Dinesh Kumar, Akash Agarwal, Sakir Erkoc, Arunima Singh and Nirupam Chakraborti,<br />

“Analyzing Fe-Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms”,<br />

Computational Materials Science, Vol. 46, No. 4, pp. 821–827, Oc<strong>to</strong>ber 2009.<br />

752. Aimin Zhou, Qingfu Zhang and Yaochu Jin, “Approximating the Set <strong>of</strong> Pare<strong>to</strong>-Optimal Solutions in Both the Decision<br />

and Objective Spaces by an Estimation <strong>of</strong> Distribution Algorithm”, IEEE Transactions on Evolutionary Computation,<br />

Vol. 13, No. 5, pp. 1167–1189, Oc<strong>to</strong>ber 2009.<br />

753. Gisele L. Pappa and Alex A. Freitas, “Evolving rule induction algorithms with multi-objective grammar-based genetic<br />

programming”, Knowledge and Information Systems, Vol. 19, No. 3, pp. 283–309, June 2009.<br />

754. Nicola Beume, <strong>Carlos</strong> M. Fonseca, Manuel Lopez-Ibanez, Luis Paquete and Jan Vahrenhold, “On the Complexity <strong>of</strong><br />

Computing the Hypervolume Indica<strong>to</strong>r”, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1075–<br />

1082, Oc<strong>to</strong>ber 2009.<br />

755. Anthony Finkelstein, Mark Harman, S. Afshin Mansouri, Jian Ren, Yuanyuan Zhang, “A search based approach <strong>to</strong> fairness<br />

analysis in requirement assignments <strong>to</strong> aid negotiation, mediation and decision making”, Requirements Engineering,<br />

Vol. 14, No. 4, pp. 231–245, December 2009.<br />

756. A. Rama Mohan Rao and K. Lakshmi, “Multi-objective Optimal Design <strong>of</strong> Hybrid Laminate Composite Structures Using<br />

Scatter Search”, Journal <strong>of</strong> Composite Materials, Vol. 43, No. 20, pp. 2157–2182, September 2009.<br />

757. Mario Camara, Julio Ortega and Francisco de Toro, “A single front genetic algorithm for parallel multi-objective optimization<br />

in dynamic environments”, Neurocomputing, Vol. 72, Nos. 16–18, pp. 3570–3579, Oc<strong>to</strong>ber 2009.<br />

758. Parames Chutima and Penpak Pinkoompee, “Multi-objective sequencing problems <strong>of</strong> mixed-model assembly systems<br />

using memetic algorithms”, Scienceasia, Vol. 35, No. 3, pp. 295–305, September 2009.<br />

759. Lam T. Bui, Hussein A. Abbass and Daryl Essam, “Localization for Solving Noisy Multi-Objective Optimization Problems”,<br />

Evolutionary Computation, Vol. 17, No. 3, pp. 379–409, Fall 2009.<br />

760. Aimin Zhou, Qingfu Zhang and Yaochu Jin, “Approximating the Set <strong>of</strong> Pare<strong>to</strong>-Optimal Solutions in Both the Decision<br />

and Objective Spaces by an Estimation <strong>of</strong> Distribution Algorithm”, IEEE Transactions on Evolutionary Computation,<br />

Vol. 13, No. 5, pp. 1167–1189, Oc<strong>to</strong>ber 2009.<br />

761. Nicola Beume, <strong>Carlos</strong> M. Fonseca, Manuel Lopez-Ibanez, Luis Paquete and Jan Vahrenhold, “On the Complexity <strong>of</strong><br />

Computing the Hypervolume Indica<strong>to</strong>r”, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp. 1075–<br />

1082, Oc<strong>to</strong>ber 2009.<br />

762. Jiaquan Gao and Jun Wang, “WBMOAIS: A novel artificial immune system for multiobjective optimization”, Computers<br />

& Operations Research, Vol. 37, No. 1, pp. 50–61, January 2010.<br />

763. Rafael Alcala, Pietro Ducange, Francisco Herrera, Beatrice Lazzerini and Francesco Marcelloni, “A Multiobjective<br />

Evolutionary Approach <strong>to</strong> Concurrently Learn Rule and Data Bases <strong>of</strong> Linguistic Fuzzy-Rule-Based Systems”, IEEE<br />

Transactions on Fuzzy Systems, Vol. 17, No. 5, pp. 1106–1122, Oc<strong>to</strong>ber 2009.<br />

764. Anthony Chen, Kitti Subprasom and Zhaowang Ji, “A simulation-based multi-objective genetic algorithm (SMOGA)<br />

procedure for BOT network design problem”, Optimization and Engineering, Vol. 7, No. 3, pp. 225–247, September<br />

2006.<br />

765. Yang Zhang and Peter Rockett, “A Comparison <strong>of</strong> three evolutionary strategies for multiobjective genetic programming”,<br />

Artificial Intelligence Review, Vol. 27, Nos. 2–3, pp. 149–163, March 2007.<br />

766. Manojkumar Ramteke and San<strong>to</strong>sh K. Gupta, “Multiobjective Optimization <strong>of</strong> an Industrial Nylon-6 Semi Batch Reac<strong>to</strong>r<br />

Using the a-Jumping Gene Adaptations <strong>of</strong> Genetic Algorithm and Simulated Annealing”, Polymer Engineering and<br />

Science, Vol. 48, No. 11, pp. 2198–2215, November 2008.<br />

767. Andrzej Jaszkiewicz and Piotr Zielniewicz, “Pare<strong>to</strong> memetic algorithm with path relinking for bi-objective traveling<br />

salesperson problem”, European Journal <strong>of</strong> Operational Research, Vol. 193, No. 3, pp. 885–890, March 16, 2009.<br />

768. Jose L. Ceciliano Meza, Mehmet Bayram Yildirim and Abu S.M. Masud, “A Multiobjective Evolutionary Programming<br />

Algorithm and Its Applications <strong>to</strong> Power Generation Expansion Planning”, IEEE Transactions on Systems, Man, and<br />

Cybernetics, Part A–Systems and Humans, Vol. 39, No. 5, pp. 1086–1096, September 2009.<br />

769. Hai-Lin Liu, Yuping Wang and Yiu-Ming Cheung, “A Multi-Objective Evolutionary Algorithm using Min-Max Strategy<br />

and Sphere Coordinate Transformation”, Intelligent Au<strong>to</strong>mation and S<strong>of</strong>t Computing, Vol. 15, No. 3, pp. 361–384,<br />

2009.<br />

770. Hussein A. Abbass, Sameer Alam and Axel Bender, “MEBRA: Multiobjective Evolutionary-Based Risk Assessment”,<br />

IEEE Computational Intelligence Magazine, Vol. 4, No. 3, pp. 29–36, August 2009.<br />

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