Bibliografia

Principal

• - Ke-Lin Du; M. N. S. Swamy (2018). Search and Optimization by Metaheuristics: Techniques and and Algorithms Inspired by Nature. Birkhäuser. - Gutierrez, A. M; Ramirez-Mendoza, R. A.; Flores, E. M.; Ponce-Cruz, P; Espinoza, A.A. O.; Silva, D. C. B. (Eds.) (2020). A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R). Taylor & Francis Ltd. - Lobato, F. S.; Valder, S. Jr. (2017). Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications. Springer Cham. - Ragsdale, C.T. (2017). Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics. 8th Ed. Cemgage Learning. - Burke, E. K.; Kendall, G. (Eds.) (2014). Search Methodologies: Introductory Tutorials in Optimization and Decision Support, 2nd edition, Springer. - Siarry, P. (Ed.) (2016). Metaheuristics, Springer. - Ehrgott, M. (2005). Multicriteria Optimization, 2nd edition, Springer.:

Secundária

• - Open Access documents such as instructor notes, book chapters, research articles, and tutorials that will be provided via Moodle.: