Uncertainty Handling in Multiple Objective Optimization
Data Mining and Pattern Recognition
Sustainability Engineering
PUBLICATIONS:
Golias, M., Boile, M., Theofanis, S. and Taboada, H. (2009).A multi-objective decision and analysis approach for the berth scheduling problem. International Journal of Information Technology Project Management (in print).
Taboada, H., Espiritu, J. & Coit, D. (2008). Design allocation of multi-state series-parallel systems for power systems planning: A multiple objective evolutionary approach. Journal of Risk and Reliability , 222(3), September 2008 .
Taboada, H., Espiritu, J. & Coit, D. (2008). MOMS-GA: A Multiobjective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems. IEEE Transactions on Reliability, 57(1):182-191.
Taboada, H. & Coit, D. (2008). Multiple Objective Scheduling Problems: Determination of Pruned Pareto Sets. IIE Transactions, 40(5):552-564.
Taboada, H. & Coit, D. (2007). Data Clustering of Solutions for Multiple Objective System Reliability Optimization Problems. Quality Technology & Quantitative Management Journal, 4(2):35-54.
Taboada, H., Baheranwala, F., Coit, D. & Wattanapongsakorn, N. (2007). Practical Solutions for Multi-Objective Optimization: An Application to System Reliability Design Problems. Reliability Engineering & System Safety, 92(3):314-322. Ranked 1st in top 25 hottest articles by ScienceDirect.com (from October to December 2006 in the journal) Link
Levitin, G., Hausken, K., Taboada, H. and Coit, D. (2009). Data Survivability vs. Security in Information Systems.IEEE Transactions on Reliability- special issue on reliability and risk assessment of complex systems (under review).
Taboada, H., Espiritu, J., Coit, D. & Levitin, G. (2009). Determination of optimal configurations of multi-task production systems with multiple objectives. Reliability Engineering & System Safety (under review).
Jin, T., Espiritu, J. and Taboada, H. (2009). Variance estimation for system reliability estimates with k-out-of-n configurations. Reliability Engineering & System Safety (under review).
Taboada, H. & Coit, D. (2008). MOEA-DAP: A new Multiple Objective Evolutionary Algorithm for solving Design Allocation Problems. Reliability Engineering & System Safety (under review).
Aguirre, O. and Taboada, H. A New Multiple Objective Evolutionary Algorithm for All-Terminal Network Reliability Evaluation. In Proceedings of the Industrial Engineering Research Conference (IERC), Miami, Florida. June, 2009.
Chavez, N., Taboada, H. and Espiritu, J. Multiple Objective Optimization in Electricity Transmission and Distribution Systems. In Proceedings of the Industrial Engineering Research Conference (IERC), Miami, Florida. June, 2009.
Aguirre, O., Villanueva, D. and Taboada, H. Multi-objective network reliability optimization using evolutionary algorithms. In Proceedings of the 15th ISSAT International Conference on Reliability and Quality in Design. 2009. San Francisco, California. August 6-8, 2009.
Taboada, H. & Coit, D. (2008). Development of a new multiple objective prioritized genetic algorithm. In Proceedings of the Industrial Engineering Research Conference (IERC), Vancouver, British Columbia, Canada. May, 2008.
Taboada, H. & Coit, D. (2008). Development of a multiple objective genetic algorithm for solving reliability design allocation problems. In Proceedings of the Industrial Engineering Research Conference (IERC), Vancouver, British Columbia, Canada. May, 2008.
Golias, M., Theofanis, S., Boile, M. & Taboada, H. (2008). A post-Pareto analysis approach for the discrete and dynamic multiobjective berth allocation problem. In Proceedings of the 87th Annual Transportation Research Forum. January 13-17, 2008, Washington D.C.
Taboada, H. & Coit, D. (2007). Recent developed evolutionary algorithms for the multi-objective optimization of design allocation problems. In Proceedings of the 5th International Conference on Quality & Reliability (ICQR5), Chiang Mai, Thailand. November, 2007.
Taboada, H. & Coit, D. (2007). Multiple Objective Design Allocation Problems: Development of New Evolutionary Algorithms. In Proceedings of the European Safety & Reliability Conference (ESREL), Stavanger, Norway, June 2007.
Taboada, H. & Coit, D. (2006). Data Mining Techniques to Facilitate the Analysis of the Pareto-Optimal Set for Multiple Objective Problems. In Proceedings of the Industrial Engineering Research Conference (IERC), Orlando, Florida, May 2006.
Taboada, H., Baheranwala, F., Coit, D. & Wattanapongsakorn, N. (2005). Practical Solutions of Multi-objective System Reliability Design Problems using Genetic Algorithms. In Proceedings of the Fourth International Conference on Quality & Reliability (ICQR4), Beijing, China, August 2005.
BOOK CHAPTER:
Genetic Algorithms in Reliability. (2007). Coit, D. & Taboada, H. In Encyclopedia of Statistics in Quality and Reliability. John Wiley & Sons, Ltd.
Institute for Operations Research and Management Science Conference (INFORMS). Determining pptimal configurations of multi-task production systems: a multiple objective approach, Washington, DC., October 12-15, 2008.
Constraint Programming and Decision Making Workshop (CoProD'08). An automated solution selection method for multiple objective optimization problems considering decision-maker preferences. Invited talk. UTEP. El Paso, Texas. October 3-4, 2008.
13th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computations (SCAN'2008). The non-numerical ranking preferences method: A method for the post-Pareto analysis of multiple objective problems. UTEP. El Paso, Texas. September 29 - October 3, 2008.
CREST (Cyber-Infrastructure Center of Excellence) Geo Meetings. Multiple objective optimization using evolutionary algorithms. Invited talk. UTEP. El Paso, TX. June 25, 2008.
Industrial Engineering Research Conference (IERC). Development of a multiple objective genetic algorithm for solving reliability design allocation problems. Vancouver, British Columbia, Canada. May, 2008.
Industrial Engineering Research Conference (IERC). Development of a new multiple objective prioritized genetic algorithm. Vancouver, British Columbia, Canada. May, 2008.
INFORMS Southwest Regional Conference. A prioritized genetic algorithm for solving multiple objective optimization problems. Texas A&M University, April 18-19, 2008.
Institute for Operations Research and Management Science Conference (INFORMS). Practical issues in the analysis of the solution of multiple objective optimization problems and decision making, Pittsburgh, Pennsylvania, November, 2006.
Industrial Engineering Research Conference (IERC). A multiobjective evolutionary algorithm for reliability design optimization problems and practical approaches for decision making in the post-Pareto analysis stage. Poster presentation. Orlando, FLA. May, 2006.
Industrial Engineering Research Conference (IERC). Data mining techniques to facilitate the analysis of the Pareto-optimal set for multiple objective problems. Orlando, FLA. May, 2006.
