Book chapters
Vargas, S. A., Zhang, S., Akhavan-Tabatabaei, R. (2014). Optimal Decision Making for Breast Cancer Treatment in The Presence of Cancer Regression and Type II Error in Mammography Results. Springer PROMS Special Issue on Current Trends in Applied Mathematical Science. In Press.
Sefair, J. A., Molano, A., Medaglia, A. L., & Sarmiento, O. L. (2011). Locating neighborhood parks with a lexicographic multiobjective optimization method. In Community-Based Operations Research: Decision Modeling for Local Impact and Diverse Populations. Michael P. Johnson (Ed.). International Series in Operations Research & Management Science, 2012, Volume 167, Part 2, 143-171. Available at: http://dx.doi.org/10.1007/978-1-4614-0806-2_6
Velasco, N., Castagliola, P., Dejax, P., Guéret, C. & Prins, C. (2009). A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter. Chapter in Pereira, F. & Tavares, J. (Eds.), Bio-inspired Algorithms for the Vehicle Routing Problem (SCI 161, pp. 173-190). Berlin, Heidelberg, Germany.: Springer – Verlag. Available at: http://dx.doi.org/10.1007/978-3-540-85152-3_8
Amodeo, L., Prins, C., & Sánchez, D. R. (2009). Comparison of Metaheuristic Approaches for Multi-objective Simulation-Based Optimization in Supply Chain Inventory Management. Lecture Notes in Computer Science: Applications of Evolutionary Computing. 5484:798-807. ISBN: 978-3-642-01128-3, ISSN: 0302-9743. Available at: http://dx.doi.org/10.1007/978-3-642-01129-0
Medaglia, A. L. (2003). An evolutionary algorithm for project selection problems based on stochastic multiobjective linearly constrained optimization. Chapter in Ringuest, J. L. and Graves, S. B., Models and Methods for Project Selection. Boston: Kluwer Academic Publishers.
Peñaranda, A., Sarmiento, O. L., Medaglia, A. L., García, J. M., Aparicio, M. L., Barón, C., Rodríguez, J. H., Calderón, L., Tovar, S. & Satizábal, C. L. (2007). Factores predictivos en la percepción del habla en niños posimplante coclear. Chapter 24 in Manual de Otorrinolaringología, cabeza y cuello. Augusto Peñaranda, Juan Manuel García y Martín Pinzón (Eds.). Actualidades Médico Odontológicas Latinoamérica C.A. (AMOLCA). ISBN: 980-6574-80-X, pp. 215-223.
Lozano, L., Medaglia, A. L., & Velasco, N. (2009). Generation of Pop-Rock Chord Sequences Using Genetic Algorithms and Variable Neighborhood Search. Lecture Notes in Computer Science. 5484, pp. 573-578. Available at: http://dx.doi.org/10.1007/978-3-642-01129-0_64
Medaglia, A. L., Gutiérrez, E., & Villegas, J.G. (2006). Solving Facility Location Problems using a Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs). In Handbook of Research on Nature Inspired Computing for Economics and Management. Jean-Phillipe Rennard (Ed.). Hershey, PA: IGI Publishing. ISBN: 1-59140-984-5. Chapter XLII, pp. 642-660.
Medaglia, A. L., & Gutiérrez, E. (2006). Applications of JGA to Operations Management and Vehicle Routing. In Handbook of Research on Nature Inspired Computing for Economics and Management. Jean-Phillipe Rennard (Ed.). Hershey, PA: IGI Publishing. ISBN: 1-59140-984-5. Chapter XLI, pp. 625-641.
Medaglia, A. L., & Gutiérrez, E. (2006). JGA: An Object-Oriented Framework for Rapid Development of Genetic Algorithms. In Handbook of Research on Nature Inspired Computing for Economics and Management. Jean-Phillipe Rennard (Ed.). Hershey, PA: IGI Publishing. ISBN: 1-59140-984-5. Chapter XL, pp. 608-624.
COPA supports the decision making process at organizations via the analysis, design and application of operations research (OR) and statistical computer-based techniques. Our purpose is to contribute to the scientific and technological development of Colombia, becoming a leading group in R&D.