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Journal of Global Optimization

An International Journal Dealing with Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering

Publishing model:
Hybrid

Journal of Global Optimization - Best Paper Award

The Best Paper Award for the Journal of Global Optimization is awarded annually to honor the authors of the best paper published in the journal in the previous year.

2022

  • Hang, N.T.V, Mordukhovich, B.S, Sarabi, M.E (2022). Augmented Lagrangian method for second-order cone programs under second-order sufficiency. Journal of Global Optimization 82(1), pp 51-81  (Click here to read (this opens in a new tab))
  • Nikolaos Ploskas, N, Sahinidis N.V (2022). Review and comparison of algorithms and software for mixed-integer derivative-free optimization. Journal of Global Optimization 82(3), pp 433–462 (Click here to read (this opens in a new tab))

2021

  • Ji, R., Lejeune, M. A. (2021). Data-driven distributionally robust chance-constrained optimization with Wasserstein metric. Journal of Global Optimization 79(4), pp 779–811 (Click here to read (this opens in a new tab))

2020

  • An, T., Nam, N.M., Qin, X. (2020). Solving k-center problems involving sets based on optimization techniques. Journal of Global Optimization 76(1), pp 189–209  (Click here to read (this opens in a new tab))
  • Madani, R., Kheirandishfard, M., Lavaei, J, Atamtürk, A. (2020). Penalized semidefinite programming for quadratically-constrained quadratic optimization. Journal of Global Optimization 78(3), pp 423–451 (Click here to read (this opens in a new tab))

2019

2018

  • Bomze, I. M., Jeyakumar, V., and Li, G.  (2018). Extended trust-region problems with one or two balls: exact copositive and Lagrangian relaxations. Journal of Global Optimization 71(3), pp. 551–569. (Click here to read (this opens in a new tab))
  • Kuang, X. and Zuluaga, L. F. (2018). Completely positive and completely positive semidefinite tensor relations for polynomial optimization. Journal of Global Optimization 70(3), pp.  551–577. (Click here to read (this opens in a new tab))

2017

  • Boukouvala, F., Faruque Hasan, M. M., and Floudas, C. A. (2017). Global optimization of general constrained grey-box models: New methods and its application to constrained PDEs for pressure swing. Journal of Global Optimization 67(1–2), pp. 3–42. (Click here to read (this opens in a new tab))
  • Lu, C., Deng, Z., and Jin, Q. (2017). An eigenvalue decomposition based branch-and-bound algorithm for nonconvex quadratic programming problems with convex quadratic constraints. Journal of Global Optimization 67(3), pp. 475–493.  (Click here to read (this opens in a new tab))
  • Beck, A. and Pan, D. (2017). A branch and bound algorithm for nonconvex quadratic optimization with ball and linear constraints. Journal of Global Optimization 69(2), pp. 309–342. (Click here to read (this opens in a new tab))

2016

  • Bauschke, H.H., Dao, M. N., Noll, D., and Phan, H. M. (2016). On Slater's condition and finite convergence of the Douglas-Rachford algorithm for solving convex feasibility problems in Euclidean spaces. Journal of Global Optimization 69(2), pp. 309–342. (Click here to read (this opens in a new tab))
  • Locatelli, M. (2016). Non polyhedral convex envelopes for 1-convex functions. Journal of Global Optimization 65(4), pp. 637–655. (Click here to read (this opens in a new tab))

2015

  • Patrascu, A. and Necoara, I. (2015). Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization. Journal of Global Optimization  61(1), 19–46. (Click here to read (this opens in a new tab))

2014

  • Bomze, I. M., Gollowitzer, S., and Yildirim, E. A. (2014). Rounding on the standard simplex: regular grids for global optimization. Journal of Global Optimization 59(2–3), pp. 243–258. (Click here to read (this opens in a new tab))
  • Paulavicius, R., Sergeyev, Y. D., Kvasov, D. E., and Žilinskas, J. (2014). Globally-biased DISIMPL algorithm for expensive global optimization. Journal of Global Optimization 59(2–3), pp. 545–567. (Click here to read (this opens in a new tab))
  • Tsoukalas, A. and Mitsos, A. (2014). Multivariate McCormick relaxations. Journal of Global Optimization 59(2–3), pp. 633–662. (Click here to read (this opens in a new tab))

2013

2012

  • Sherali, H. D., Dalkiran, E., and Liberti, L. (2012). Reduced RLT representations for nonconvex polynomial programming problems. Journal of Global Optimization 52(3), pp. 447–469. (Click here to read (this opens in a new tab))
  • Li, D.,  Sun, X. L., and Liu, C. L. (2012). An exact solution method for unconstrained quadratic 0–1 programming: a geometric approach. Journal of Global Optimization 52(4), pp. 797–829. (Click here to read (this opens in a new tab))

2011

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