Springer is publishing the series “Optimization and Its Applications” aims to publish state-of-the-art expository works (monographs, contributed volumes, textbooks) that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, approximation techniques and heuristic approaches.

A list of the selected books is given below.

Sergeyev Y.D., De Leone R. (2022) Numerical Infinities and Infinitesimals in Optimization, Springer.

Kalyagin, V.A., Koldanov, A.P., Koldanov, P.A., Pardalos, P.M. (2020) Statistical Analysis of Graph Structures in Random Variable Networks. Springer.

Matsatsinis, N. F., Marinakis, Y., Pardalos, P. (2020). Learning and Intelligent Optimization. Springer.

Pardalos, P., Kotsireas, I., Guo, Y., Knottenbelt, W. (2020). Mathematical Research for Blockchain Economy. Springer.

Archetti, F., Candelieri, A. (2019). Bayesian Optimization and Data Science. Springer, Cham.

Fathi, M., Khakifirooz, M., Pardalos, P. M. (2019). Optimization in Large Scale Problems, Industry 4.0 and Society 5.0 Applications. Springer.

Velásquez-Bermúdez, J. M., Khakifirooz, M., Fathi, M. (2019). Large Scale Optimization in Supply Chains and Smart Manufacturing, Theory and Applications. Springer.

Amini, M. H., G. Boroojeni, K., Iyengar, S. S., M. Pardalos, P., Blaabjerg, F., & M. Madni, A. (2018). Sustainable Interdependent Networks. Springer.
Sergeyev, Y., D., & Kvasov, D., E. (2017). Deterministic Global Optimization. Springer.
Marti, R., Pardalos, P., & Resende, M. (2017). Handbook of Heuristics. Springer.
Nicosia, G., Pardalos, P., Giuffrida, G., & Umeton, R. (2017). Machine Learning, Optimization, and Big Data. Springer.
Pardalos, P. M., Zilinskas, A. & Zilinskas, J. (2017). Non-Convex Multi-Objective Optimization. Springer.
Pardalos, P. M., Zhigljavsky, A., & Zhilinskas, J. (2016). Advances in Stochastic and Deterministic Global Optimization. Springer.
Demyanov, V., F., Pardalos, P., M., & Batsyn, M., V. (2016). Constructive Nonsmooth Analysis and Related Topics. Springer.
Tuy, H. (2016). Convex Analysis and Global Optimization. Springer.
Fasano, G., & Pinter, J. D. (2016). Optimized Packings with Applications. Springer.
Bruhn, A., Pock, T., & Tai, X.-C. (2014). Efficient Algorithms for Global Optimization Methods in Computer Vision. Springer.
Audet, C., Hansen, P., & Savard, G. (2014). Essays and Surveys in Global Optimization. Springer.
Strongin, R. G., & Sergeyev, Y. D. (2014). Global Optimization with Non-Convex Constraints: Sequential And Parallel Algorithms. Springer.
Butenko, S., & Pardalos, P., M. (2014). Numerical Methods and Optimization. CRC Press.
Sen, M., K., & Stoffa, P., L. (2013). Global Optimization Methods in Geophysical Inversion. Cambridge University Press.
Sergeyev, Y., D., Strongin, R., G., & Lera, D. (2013). Introduction to Global Optimization Exploiting Space-Filling Curves. Springer.
Nesterov, Y. (2013). Introductory Lectures on Convex Optimization. Springer Science & Business Media.
Paulavičius, R., & Žilinskas, J. (2013). Simplicial Global Optimization. Springer.
Spedicato, E., Goiuseppe. (2012). Algorithms for Continuous Optimization. Springer Science & Business Media.
Pronzato, L., & Zhigljavsky, A. (2011). Optimal Design and Related Areas in Optimization and Statistics. Springer.
Floudas, C., A. (2010). Deterministic Global Optimization. Springer.
Zopounidis, C., & Pardalos, P., M. (2010). Handbook of Multicriteria Analysis. Springer.
Gao, D., Y., & Sherali, H., D. (2009). Advances in Applied Mathematics and Global Optimization. Springer Science & Business Media.
Pardalos, P., M., & Coleman, T., Frederick. (2009). Lectures on Global Optimization. American Mathematical Soc.
Pardalos, P. M., Nguyen, V. T., & Horst, R. (2008). Introduction to Global Optimization. Springer.
Zhigljavsky, A., & Zilinskas, A. (2008). Stochastic Global Optimization. Springer.
Sergeyev, Y., D. (2003). Arithmetic of Infinity. Orizzonti Meridionali.
Bliek, C., Jermann, C., & Neumaier, A. (2003). Global Optimization and Constraint Satisfaction. Springer.
Pardalos, P., M., & Korotkikh, V. (2003). Optimization and Industry: New Frontiers. Springer Science & Business Media.
Tawarmalani, M., & Sahinidis, N., V. (2002). Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming. Springer Science & Business Media.
Atkinson, A., Bogacka, B., & Zhigljavsky, A. (2001). Optimum Design 2000. Nonconvex Optimization and Its Applications. Springer.
Pronzato, L., Wynn, H., P., & Zhigljavsky, A., A. (1999). Dynamical Search. CRC Press.
Floudas, C., A., & Pardalos, P., M. (1999). Handbook of test problems in local and global optimization. Kluwer Academic Pub.
Fang, S.-C., Rajasekera, J. R., & Tsao, H. S. J. (1997). Entropy Optimization and Mathematical Programming. Springer Science & Business Media.
Pintér, J. (1996). Global Optimization in Action. Springer Science & Business Media.
Zhigljavsky, A. (1991). Theory of Global Random Search. Springer.
Floudas, C., A., & Pardalos, P., M. (1990). A Collection of Test Problems for Constrained Global Optimization Algorithms. Springer Science & Business Media.