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

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59. Ali Kaveh, Karim Laknejadi and Babak Alinejad, “Performance-based multi-objective optimization <strong>of</strong> large steel structures”,<br />

Acta Mechanica, Vol. 223, No. 2, pp. 355–369, February 2012.<br />

60. Khaled Badran and Peter Rockett, “Multi-class pattern classification using single, multi-dimensional feature-space feature<br />

extraction evolved by multi-objective genetic programming and its application <strong>to</strong> network intrusion detection”, Genetic<br />

Programming and Evolvable Machines, Vol. 13, No. 1, pp. 33–63, March 2012.<br />

61. B. Naujoks, H. Trautmann, S. Wessing and C. Weihs, “Advanced concepts for multi-objective evolutionary optimization<br />

in aircraft industry”, Proceedings <strong>of</strong> the Institution <strong>of</strong> Mechanical Engineers Part G–Journal <strong>of</strong> Aerospace Engineering,<br />

Vol. 225, No. G10, pp. 1081–1096, Oc<strong>to</strong>ber 2011.<br />

62. Chiu-Hung Chen, Tung-Kuan Liu, I-Ming Huang and Jyh-Horng Chou, “Multiobjective Synthesis <strong>of</strong> Six-bar Mechanisms<br />

Under Manufacturing and Collision-free Constraints”, IEEE Computational Intelligence Magazine, Vol. 7, No. 1, pp.<br />

36–48, February 2012.<br />

63. Arnaud Zinflou, Caroline Gagne and Marc Gravel, “GISMOO: A new hybrid genetic/immune strategy for multipleobjective<br />

optimization”, Computers & Operations Research, Vol. 39, No. 9, pp. 1951–1968, September 2012.<br />

64. Khairy Elsayed and Chris Lacor, “Modeling and Pare<strong>to</strong> optimization <strong>of</strong> gas cyclone separa<strong>to</strong>r performance using RBF<br />

type artificial neural networks and genetic algorithms”, Poweder Technology, Vol. 217, pp. 84–99, February 2012.<br />

65. Yavuz Cengiz and Eray Konar, “Pare<strong>to</strong>-optimal synthesis <strong>of</strong> microwave amplifier <strong>to</strong> design the noise-constrained gain<br />

value”, Microwave and Optical Technology Letters, Vol. 54, No. 4, pp. 1079–1084, April 2012.<br />

66. T. Gomez, M. Hernandez, J. Molina, M.A. Leon, E. Aldana and R. Caballero, “A multiobjective model for forest<br />

planning with adjacency constraints”, Annals <strong>of</strong> Operations Research, Vol. 190, No. 1, pp. 75–92, Oc<strong>to</strong>ber 2011.<br />

67. C.A. Garcia Mon<strong>to</strong>ya and S. Mendoza Toro, “Implementation <strong>of</strong> an evolutionary algorithm in planning investment in a<br />

power distribution system”, Revista Ingeniería e Investigación, Vol. 31, Supplement: 2, pp. 118–124, 2011.<br />

68. Sunith Bandaru and Kalyanmoy Deb, “Towards au<strong>to</strong>mating the discovery <strong>of</strong> certain innovative design principles through<br />

a clustering-based optimization technique”, Engineering Optimization, Vol. 43, No. 9, pp. 911–941, 2011.<br />

69. Shuo Xu, Ze Ji, Duc Truong Pham and Fan Yu, “Binary Bees Algorithm - bioinspiration from the foraging mechanism<br />

<strong>of</strong> honeybees <strong>to</strong> optimize a multiobjective multidimensional assignment problem”, Engineering Optimization, Vol. 43,<br />

No. 11, pp. 1141–1159, 2011.<br />

70. Ben G. Small, Barry W. McColl, Richard Allmendinger, Jürgen Pahle, Gloria Lopez-Castejon, Nancy J. Rothwell, Joshua<br />

Knowles, Pedro Mendes, David Brough and Doublas B. Kell, “Efficient discovery <strong>of</strong> anti-inflamma<strong>to</strong>ry small-molecule<br />

combinations using evolutionary computing”, Nature Chemical Biology, Vol. 7, No. 12, pp. 902–908, December 2011.<br />

71. Manojkumar Ramteke and Rajagopalan Srinivasan, “Novel genetic algorithm for short-term scheduling <strong>of</strong> sequence<br />

dependent changeovers in multiproduct polymer plants”, Computers & Chemical Engineering, Vol. 35, No. 12, pp.<br />

2945–2959, December 14, 2011.<br />

72. Yun-Geun Lee, Bob Mckay, Kang-Il Kim, Dong-Kyun Kim and Nguyen Xuan Hoai, “Investigating vesicular selection A<br />

selection opera<strong>to</strong>r in in vitro evolution”, Applied S<strong>of</strong>t Computing, Vol. 11, No. 8, pp. 5528–5550, December 2011.<br />

73. Guillermo Molina, Francisco Luna, An<strong>to</strong>nio J. Nebro and Enrique Alba, “An efficient local improvement opera<strong>to</strong>r for<br />

the multi-objective wireless sensor network deployment problem”, Engineering Optimization, Vol. 43, No. 10, pp.<br />

1115–1139, 2011.<br />

74. W.L. Wang, X.J. Yang, G.X. Xu and Y. Huang, “Multi-objective design optimization <strong>of</strong> the complete valve system<br />

in an adjustable linear hydraulic damper”, Proceedings <strong>of</strong> the Institution <strong>of</strong> Mechanical Engineers Part C–Journal <strong>of</strong><br />

Mechanical Engineering Science, Vol. 225, No. C3, pp. 679–699, 2011.<br />

75. Jose L. Bernal-Agustin and Rodolfo Dufo-Lopez, “Simulation and optimization <strong>of</strong> stand-alone hybrid renewable energy<br />

systems”, Renewable & Sustainable Energy Reviews, Vol. 13, No. 8, pp. 2111–2118, Oc<strong>to</strong>ber 2009.<br />

76. Kwang Mong Sim and Bo An, “Evolving Best-Response Strategies for Market-<strong>Dr</strong>iven Agents Using Aggregative Fitness<br />

GA”, IEEE Transactions on Systems, Man, and Cybernetics Part C–Applications and Reviews, Vol. 39, No. 3, pp.<br />

284–298, May 2009.<br />

77. Md. Rafiul Hassan, Baikunth Nath, Michael Kirley and Joarde Kamruzzaman, “A hybrid <strong>of</strong> multiobjective Evolutionary<br />

Algorithm and HMM-Fuzzy model for time series prediction”, Neurocomputing, Vol. 81, pp. 1–11, April 1, 2012.<br />

78. Kent McClymont and Ed Keedwell, “Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting”,<br />

Evolutionary Computation, Vol. 20, No. 1, pp. 1–26, Spring 2012.<br />

79. Teodor Marcu, Birgit Köppen-Seliger and Reinhard Stücher, “Design <strong>of</strong> fault detection for a hydraulic looper using<br />

dynamic neural networks”, Control Engineering Practice, Vol. 16, No. 2, pp. 192–213, February 2008.<br />

80. Christian Gagne and Marc Parizeau, “Coevolution <strong>of</strong> nearest neighbor classifiers”, International Journal <strong>of</strong> Pattern<br />

Recognition and Artificial Intelligence, Vol. 21, No. 5, pp. 921–946, August 2007.<br />

81. B.Y. Qu and P.N. Suganthan, “Constrained multi-objective optimization algorithm with an ensemble <strong>of</strong> constraint<br />

handling methods”, Engineering Optimization, Vol. 43, No. 4, pp. 403–416, 2011.<br />

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