The following publications describe BAM, its methodology, and various related algorithms and applications:

1. Amaran, S., N. V. Sahinidis, B. Sharda and S. J. Bury, Simulation optimization: A review of algorithms and applications, Annals of Operational Research, 240, 351-380, 2016.
2. Cozad, A., N. V. Sahinidis and D. C. Miller, Learning surrogate models for simulation-based optimization, AIChE Journal, 60, 2211-2227, 2014.
3. Cozad, A., N. V. Sahinidis and D. C. Miller, A combined first-principles and data-driven approach to model building, Computers & Chemical Engineering, 73, 116-127, 2015.
4. Ma, K., L. M. Rios, A. Bhosekar, N. V. Sahinidis and S. Rajagopalan, Branch-and-Model: A derivative-free global optimization algorithm, Computational Optimization and Applications, 85, 337-367, 2023.
5. Ma, K., L. M. Rios, H. Zheng, N. V. Sahinidis and S. Rajagopalan, Model-and-Search: A derivative-free local optimization algorithm, Computational Optimization and Applications, https://doi.org/10.1007/s10589-025-00686-9.
6. Ploskas, N. and N. V. Sahinidis, Review and comparison of algorithms and software for mixed-integer derivative-free optimization, Journal of Global Optimization, 82, 433-462, 2022.
7. Rios, L. M. and N. V. Sahinidis, Derivative-free optimization: A review of algorithms and comparison of software implementations, Journal of Global Optimization, 56, 1247-1293, 2013.
8. Zhang, Y. and N. V. Sahinidis, Solving continuous and discrete nonlinear programs with BARON, Computational Optimization and Applications, https://doi.org/10.1007/s10589-024-00633-0.