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

6. N.B. Muthuselvan, M. Devesh Raj and P. Somasundaram, “Cauchy - Gaussian Infused Particle Swarm Optimization for
Economic Dispatch with Wind Power Generation”, International Review of Electrical Engineering–IREE, Part B, Vol.
6, No. 1, pp. 387–395, January-February 2011.
7. A. Lashkar Ara, A. Kazemi and S.A. Nabavi Niaki, “Optimal location of Hybrid Flow Controller considering modified
steady-state model”, Applied Energy, Vol. 88, No. 5, pp. 1578–1585, May 2011.
8. A. Lashkar Ara, A. Kazemi and S.A. Nabavi Niaki, “Modelling of Optimal Unified Power Flow Controller (OUPFC)
for optimal steady-state performance of power systems”, Energy Conversion and Management, Vol. 52, No. 2, pp.
1325–1333, February 2011.
9. A. Bhattacharya and P.K. Chattopadhyay, “Application of biogeography-based optimisation to solve different optimal
power flow problems”, IET Generation Transmission & Distribution, Vol. 5, No. 1, pp. 70–80, January 2011.
10. D.C. Secui, I. Felea, S. Dzitac and L. Popper, “A Swarm Intelligence Approach to the Power Dispatch Problem”,
International Journal of Computers Communications & Control, Vol. 5, No. 3, pp. 375–384, September 2010.
11. Jie Xing, Chen Chen and Peng Wu, “Optimal Active Power Dispatch with Small-signal Stability Constraints”, Electric
Power Components and Systems, Vol. 38, No. 9, pp. 1097–1110, 2010.
12. A.Y. Abdelaziz, F.M. Mohammed, S.F. Mekhamer and M.A.L. Badr, “Distribution Systems Reconfiguration using a
modified particle swarm optimization algorithm”, Electric Power Systems Research, Vol. 79, No. 11, pp. 1521–1530,
November 2009.
• Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello, Michael Dellnitz and El-ghazali Talbi, “Convergence
of Stochastic Search Algorithms to Finite Size Pareto Set Approximations”, Journal of Global
Optimization, Vol. 41, No. 4, pp. 559–577, August 2008.
1. Douglas A.G. Vieira, Ricardo H.C. Takahashi and Rodney R. Saldanha, “Multicriteria optimization with a multiobjective
golden section line search”, Mathematical Programming, Vol. 131, Nos. 1-2, pp. 131–161, February 2012.
2. Yu Chen, Xiufen Zou and Weicheng Xie, “Convergence of multi-objective evolutionary algorithms to a uniformly distributed
representation of the Pareto front”, Information Sciences, Vol. 181, No. 16, pp. 3336–3355, August 15,
2011.
3. Z. Tang, J. Periaux, G. Bugeda and E. Onate, “Lift maximization with uncertainties for the optimization of high-lift
devices”, International Journal for Numerical Methods in Fluids, Vol. 64, No. 2, pp. 119–135, September 20, 2010.
• Leticia C. Cagnina, Susana C. Esquivel and Carlos A. Coello Coello, “Solving Engineering Optimization
Problems with the Simple Constrained Particle Swarm Optimizer”, Informatica, Vol. 32, pp. 319–326, 2008.
1. Vivek Kumar Mehta and Bhaskar Dasgupta, “A constrained optimization algorithm based on the simplex search
method”, Engineering Optimization, Vol. 44, No. 5, pp. 537–550, 2012.
2. Ahmad Mozaffari, Mofid Gorji-Bandpy and Tahereh B. Gorji, “Optimal design of constraint engineering systems: application
of mutable smart bee algorithm”, International Journal of Bio-Inspired Computation, Vol. 4, No. 3, pp. 167–180,
2012.
3. Xin-She Yang and Suash Deb, “Two-stage eagle strategy with differential evolution”, International Journal of Bio-
Inspired Computation, Vol. 4, No. 1, pp. 1–5, 2012.
4. Adil Baykasoglu, “Design optimization with chaos embedded great deluge algorithm”, Applied Soft Computing, Vol. 12,
No. 3, pp. 1055–1067, March 2012.
5. Musrrat Ali, Millie Pant, Ajith Abraham and Chang Wook Ahn, “Swarm Directions Embedded Differential Evolution
for Faster Convergence of Global Optimization Problems”, International Journal on Artificial Intelligence Tools, Vol.
21, No. 3, Article Number: 1240013, June 2012.
6. S. Talatahari, A. Kaveh and R. Sheikholeslami, “Engineering design optimization using chaotic enhanced charged system
search algorithms”, Acta Mechanica, Vol. 223, No. 10, pp. 2269–2285, October 2012.
7. Sanghoun Oh, Chang Wook Ahn and Moongu Jeon, “Effective Constraints Based Evolutionary Algorithm for Constrained
Optimization Problems”, International Journal of Innovative Computing Information and Control, Vol. 8, No.
6, pp. 3997–4014, June 2012.
8. Ali Husseinzadeh Kashan, “An efficient algorithm for constrained global optimization and application to mechanical
engineering design: League championship algorithm (LCA)”, Computer-Aided Design, Vol. 43, No. 12, pp. 1769–1792,
December 2011.
9. Giordano Tomassetti, “A cost-effective algorithm for the solution of engineering problems with particle swarm optimization”,
Engineering Optimization, Vol. 42, No. 5, pp. 471–495, 2010.
• Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello, “Artificial Immune System for Solving
Constrained Optimization Problems”, Revista Iberoamericana de Inteligencia Artificial, Vol. 11, No. 35, pp.
55–66, 2007.
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