[1].   I. Erlich, G. K. Venayagamoorthy, and W. Nakawiro, “A mean-variance optimization algorithm,” in Proc. 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain.

[2].   I. Erlich, F. Shewarega, C. Feltes, F. Koch and J. Fortmann, “Determination of Dynamic Wind Farm Equivalents using Heuristic Optimization,” in Proc. 2012 IEEE Power & Energy Society General Meeting, San Diego, USA, July 2012.

[3].   W. Nakawiro, I. Erlich, and J.L. Rueda, “A novel optimization algorithm for optimal reactive power dispatch: A comparative study,” in Proc. 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, Weihai, Shandong, China, July 2011.

[4].   I. Erlich, W. Nakawiro, and M. Martinez, "Optimal Dispatch of Reactive Sources in Wind Farms," in Proc. 2011 IEEE PES General Meeting, Detroit, USA, July 2011.

[5].   J.C. Cepeda, J.L. Rueda, and I. Erlich, “Identification of Dynamic Equivalents based on Heuristic Optimization for Smart Grid Applications,” in Proc. 2012 IEEE world congress on computational intelligence, Brisbane, Australia, June 2012

[6].   J.L. Rueda, J.C. Cepeda, and I. Erlich, “Estimation of Location and Coordinated Tuning of PSS based on Mean-Variance Mapping Optimization,” in Proc. 2012 IEEE Power & Energy Society General Meeting, San Diego, USA, July 2012.

[7].   P. Chakravarty and G.K.Venayagamoorthy, “Development of optimal controllers for a DFIG based wind farm in a smart grid under variable wind speed conditions,” in Proc. 2011 IEEE International Electric Machines & Drives Conference, pp. 723 – 728, Niagara Falls, Canada.

[8].   M. S. Chamba, and O. Añó, "Despacho óptimo de energía y reserva en mercados competitivos empleando algoritmos meta-heurísticos," in Proc. 2012 IEEE Argencon, Córdoba, Argentina, June 2012.

[9].   F. Gonzalez-Longatt, J.L. Rueda, I. Erlich, W. Villa, and D. Bogdanov, “Mean Variance Mapping Optimization Algorithm for the Identification of Gaussian Mixture Model: Test Case,” in Proc. 6th IEEE International Conference on Intelligent Systems (IS’12), Sofia, Bulgaria, Sept. 2012.

[10].  R. M. Pringles, and J.L. Rueda, “Optimal Transmission Expansion Planning using Mean-Variance Mapping Optimization,” in Proc. Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition, Montevideo, Uruguay, Sept. 2012.

[11]. G.K. Venayagamoorthy, K. Rohrig, and I. Erlich, "One Step Ahead: Short-Term Wind Power Forecasting and Intelligent Predictive Control Based on Data Analytics," IEEE Power and Energy Magazine, vol.10, no.5, pp.70,78, Sept. 2012. DOI: 10.1109/MPE.2012.2205322

[12]. F. Gonzalez-Longatt, J.L. Rueda, I. Erlich, D. Bogdanov, and W. Villa, “Identification of Gaussian Mixture Model using Mean Variance Mapping Optimization: Venezuelan Case,” in Proc. the 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference, Berlin, Germany, Oct. 2012.

[13]. J.C. Cepeda, and J.L. Rueda, “Identification of dynamic equivalents using mean-variance mapping optimization and DIgSILENT Power Factory,” Revista Técnica Energía, Quito, Ecuador, no. 9, pp. 13-22, Jan. 2013. (In Spanish). ISSN 1390 – 507.

[14]. J.L. Rueda, W.H. Guamán, J.C. Cepeda, I. Erlich, and A. Vargas, “Hybrid Approach for Power System Operational Planning with Smart Grid and Small-Signal Stability Enhancement Considerations,” IEEE Transactions on Smart Grid - Special Issue on Computational Intelligence Applications in Smart Grids, vol.4, no.1, pp.530-539, March 2013. DOI: 10.1109/TSG.2012.2222678. ISSN: 1949-3053.

[15]. J.L. Rueda, and I. Erlich, “Optimal Dispatch of Reactive Power Sources Using Swarmed Mean-Variance Mapping Optimization,” in Proc. 2013 IEEE Symposium Series on Computational Intelligence, Singapore, April 2013.

[16]. J.L. Rueda, and I. Erlich, “Evaluation of the Mean-Variance Mapping Optimization for Solving Multimodal Problems,” in Proc. 2013 IEEE Symposium Series on Computational Intelligence, Singapore, April 2013.

[17]. T. Holtschneider, and I. Erlich, “Optimization of Electricity Pricing Considering Neural Network Based Model of Consumers' Demand Response,” in Proc. 2013 IEEE Symposium Series on Computational Intelligence, Singapore, April 2013.

[18]. J.C. Cepeda, J.L. Rueda, and I. Erlich, “Identification of Power System Dynamic Equivalents based on Mean-Variance Mapping Optimization,” in Proc. 2013 IEEE Grenoble PowerTech 2013, Grenoble, France, June 2013.

[19]. J.L. Rueda, and I. Erlich, “Mean-Variance Mapping Optimization for Solving the IEEE-CEC 2013 Competition Problems,” in Proc. 2013 IEEE Congress on Evolutionary Computation, June 2013.

[20]. J.L. Rueda, and I. Erlich, “Short-Term Transmission Expansion Planning by Using Swarm Mean-Variance Mapping Optimization,” in Proc. 17th International Conference on Intelligent System Applications to Power Systems, Tokyo, Japan, July 2013.

[21]. J.L. Rueda, and I. Erlich, “Mean-Variance Mapping Optimization for the Solution of Power System Problems,” in Proc. 17th International Conference on Intelligent System Applications to Power Systems, Tokyo, Japan, July 2013.