Journal of Global Optimization
2004 - 2026
Current editor(s): Sergiy Butenko From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 96, issue 2, 2026
- Mixed-integer linear optimization for semi-supervised optimal classification trees pp. 325-350

- Jan Pablo Burgard, Maria Eduarda Pinheiro and Martin Schmidt
- Extended triangle inequalities for nonconvex box-constrained quadratic programming pp. 351-373

- Kurt M. Anstreicher and Diane Puges
- Mix orthogonal matching pursuit for mix sparse optimization with exact recovery guarantee under the RIP-based conditions pp. 375-402

- Yaohua Hu, Qianrou Liang, Yuanzhuo Song and Yuqia Wu
- Relaxation via separable estimators: arithmetic and implementation pp. 403-440

- Yanlin Zha, Mario Eduardo Villanueva, Boris Houska and Benoît Chachuat
- Closing the duality gap of the generalized trace ratio problem pp. 441-454

- Meijia Yang and Yong Xia
- Inverse quickest path problem on networks under weighted $$l_{\infty }$$ l ∞ norm pp. 455-479

- Xinqiang Qian, Xiucui Guan, Binwu Zhang and Panos M. Pardalos
Volume 96, issue 1, 2026
- A graphical framework for global optimization of mixed-integer nonlinear programs pp. 1-38

- Danial Davarnia, Mohammadreza Kiaghadi and Junyuan Qiu
- A distributed method hybridizing fully symmetric Peaceman–Rachford regularization with sequential quadratic programming for nonconvex-nonsmooth multi-block optimization pp. 39-89

- Jinbao Jian, Zhiwen Ren, Jianghua Yin and Deren Han
- Proximal gradient method based on line-form backtracking line search with random term for composite optimization pp. 91-114

- Longcheng Zhang, Xu Zhang and Zheng Peng
- Compressed Newton-direction-based thresholding methods for sparse optimization problems pp. 115-140

- Nan Meng and Yun-Bin Zhao
- High-dimensional Bayesian optimization based on block coordinate descent pp. 141-170

- Zhiyuan Miao and Dawei Zhan
- A novel exact algorithm for economic lot-sizing with piecewise linear production costs pp. 171-205

- Kleitos Papadopoulos
- Projecting onto the unit dual quaternion set pp. 207-227

- Ziyang Li, Chunfeng Cui and Jiaxin Xie
- Characterization of highly robust solutions in multi-objective programming in Banach spaces pp. 229-257

- Morteza Rahimi and Majid Soleimani-damaneh
- Stackelberg-Cournot-Nash equilibria under ambiguity and $$\alpha $$ α -maxmin preferences pp. 259-296

- Silvia Lorenzini, Davide Petturiti and Barbara Vantaggi
- Coalitional partition and stability in the great fish war with quasi-hyperbolic discounting pp. 297-323

- Jiangjing Zhou and Vladimir Mazalov
Volume 95, issue 4, 2026
- An improved inertial stochastic proximal alternating linearized minimization for nonconvex optimization in machine learning pp. 893-926

- Qingsong Wang and Deren Han
- A truncated $$\varepsilon $$ ε -subdifferential method for global DC optimization pp. 927-965

- Adil M. Bagirov, Kaisa Joki, Marko M. Mäkelä and Sona Taheri
- A spatial branch-and-bound approach for maximization of differentiable monotone continuous submodular functions pp. 967-992

- Hugh Medal and Izuwa Ahanor
- Benefits of the IOPIS paradigm on the landscapes of multiobjective optimization problems pp. 993-1012

- Bhupinder Singh Saini, Michael Emmerich and Kaisa Miettinen
- Bishop-Phelps type scalarization for vector optimization in real topological-linear spaces pp. 1013-1049

- Christian Günther, Bahareh Khazayel, Radu Strugariu and Christiane Tammer
- Global Optimization of Gas Transportation and Storage: Convex Hull Characterizations and Relaxations pp. 1051-1093

- Bahar Cennet Okumuşoğlu and Burak Kocuk
- Publisher Correction: Parabolic approximation & relaxation for MINLP pp. 1095-1141

- Adrian Göß, Robert Burlacu and Alexander Martin
Volume 95, issue 3, 2026
- Preface: special issue of MOA 2024 pp. 549-550

- Wei-Kun Chen, Bo Jiang and Jiming Peng
- On the global convergence of the proximal gradient method for Tikhonov regularized correction of absolute value equations pp. 551-570

- Yongxin Chen and Deren Han
- On approximation algorithms for commutative quaternion polynomial optimization pp. 571-595

- Chang He, Bo Jiang, Hongye Wang and Xihua Zhu
- Risk-averse two-stage distributionally robust mixed-integer optimization with decision-dependent ambiguity sets pp. 597-628

- Yaling Hu, Xiaojiao Tong, Zheng Peng and Li Tan
- The rate of convergence of augmented Lagrangian method for bilevel optimization problems with equality constraints pp. 629-652

- Xiang Liu, Mengwei Xu and Liwei Zhang
- Multi-step Inertial Accelerated Doubly Stochastic Gradient Methods for Block Term Tensor Decomposition pp. 653-685

- Zehui Liu, Qingsong Wang and Chunfeng Cui
- An efficient Lagrangian decomposition approach for large-scale tank regulation and storage problems in secondary water supply system pp. 687-709

- Wei Lv, Jun-Feng Wang and Zhou Xiao
- Sparse polynomial optimization with matrix constraints pp. 711-739

- Jiawang Nie, Zheng Qu, Xindong Tang and Linghao Zhang
- Distributionally robust resource allocation using Wasserstein distance pp. 741-756

- Zengyun Shan, Xingyu Lu and Junfeng Yang
- Strong Group Fair Classification via Optimal Transport and Mixed-Integer Linear Programming pp. 757-778

- Yuan Tao, Caihua Chen, Suhong Jiang and Qingyang Wang
- On the $$o(1/k^{2})$$ o ( 1 / k 2 ) convergence rate analysis for general inertial gradient type method pp. 779-801

- Tanxing Wang, Xingju Cai and Ting Li
- A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme pp. 803-834

- Jiazhen Wei, Fan Wu and Wei Bian
- An inertial block proximal alternating linearized minimization method for cardinality-constrained index tracking problems pp. 835-862

- Zhongming Wu, Xinyi Lu and Yizun Lin
- An efficient stochastic subgradient method for the global placement problem in very large-scale integration circuits pp. 863-892

- Yi-Shuang Yue, Yu-Hong Dai and Haijun Yu
Volume 95, issue 2, 2026
- Computing two-stage robust optimization with mixed integer structures pp. 261-302

- Wei Wang and Bo Zeng
- Robust chance-constrained optimization with discrete distributions pp. 303-330

- Daniela Bernhard, Frauke Liers and Michael Stingl
- Smoothing methods for mathematical programs with second-order cone complementarity constraints pp. 331-358

- Yan-Chao Liang, En-Hui Xia, Gui-Hua Lin and Xide Zhu
- Exactness conditions for the dual Lagrangian bound of separable quadratically constrained quadratic programming problems pp. 359-381

- S. Ardizzoni, L. Consolini and M. Locatelli
- NAUTILI: A trade-off-free interactive multiobjective optimization method for group decision making pp. 383-404

- Juuso Pajasmaa, Bhupinder Singh Saini, Babooshka Shavazipour, Francisco Ruiz, Dmitry Podkopaev and Kaisa Miettinen
- Accelerated primal-dual methods for linearly constrained convex optimization problems pp. 405-437

- Hao Luo
- Accelerated gradient methods with strong convergence to the minimum norm minimizer: a dynamic approach combining time scaling, averaging, and Tikhonov regularization pp. 439-463

- Hedy Attouch, Zaki Chbani and Hassan Riahi
- Inexact subgradient algorithm with a non-asymptotic convergence guarantee for copositive programming problems pp. 465-494

- Mitsuhiro Nishijima, Pierre-Louis Poirion and Akiko Takeda
- Constrained consensus-based optimization and numerical heuristics for the few particle regime pp. 495-548

- Jonas Beddrich, Enis Chenchene, Massimo Fornasier, Hui Huang and Barbara Wohlmuth
Volume 95, issue 1, 2026
- Preface: the special issue dedicated to the 100th anniversary of professor Hoàng Tuy pp. 1-3

- Hoai An Le Thi and Tao Pham Dinh
- DC-programming for neural network optimizations pp. 5-21

- Pranjal Awasthi, Anqi Mao, Mehryar Mohri and Yutao Zhong
- Global optimization via optimal decision trees pp. 23-63

- Dimitris Bertsimas and Berk Öztürk
- Continuous formulations for combinatorial optimization problems based on the probabilistic method pp. 65-109

- Sergiy Butenko, Miltiades Pardalos and Ashwini Ravindran
- A two-phase sequential algorithm for global optimization of the standard quadratic programming problem pp. 111-161

- Joaquim Júdice, Valentina Sessa and Masao Fukushima
- Stochastic DC algorithms for general stochastic DC programs with machine learning applications pp. 163-192

- Hoai An Le Thi, Thì My Le, Huynh Van Ngai and Tao Pham Dinh
- DC algorithms in Hilbert spaces and the solution of indefinite infinite-dimensional quadratic programs pp. 193-209

- Yongdo Lim, Hoang Ngoc Tuan and Nguyen Dong Yen
- An extragradient algorithm for quasiconvex equilibrium problems without monotonicity pp. 211-230

- Le Dung Muu and Le Hai Yen
- Efficient smooth minorants for global optimization of univariate functions with the first derivative satisfying the interval Lipschitz condition pp. 231-259

- Mikhail A. Posypkin and Yaroslav D. Sergeyev
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