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 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
Volume 94, issue 4, 2026
- Relaxations of KKT conditions do not strengthen finite RLT and SDP-RLT bounds for nonconvex quadratic programs pp. 891-918

- E. Alper Yıldırım
- A Relax-Fix-and-Exclude algorithm for an MINLP problem with multilinear interpolations pp. 919-949

- Bruno M. Pacheco, Pedro M. Antunes, Eduardo Camponogara, Laio O. Seman, Vinícius R. Rosa, Bruno F. Vieira and Cesar Longhi
- Parabolic approximation & relaxation for MINLP pp. 951-996

- Adrian Göss, Robert Burlacu and Alexander Martin
- Characterizations of Strongly Quasiconvex Functions pp. 997-1003

- Nicolas Hadjisavvas and Felipe Lara
- Stochastic ADMM with variance-reduced recursive momentum and its accelerated variant for nonconvex nonsmooth optimization pp. 1005-1051

- Feiyu Long, Congying Han, Tiande Guo and Shichen Liao
- Quasi-Newton method with subspace gradients pp. 1053-1080

- Taisei Miyaishi, Ryota Nozawa, Pierre-Louis Poirion and Akiko Takeda
- A new relaxed projection method for solving the split feasibility problem with multiple output sets pp. 1081-1097

- Wanrong Zhan, Hai Yu and Fenghui Wang
- Aggregation of bilinear bipartite equality constraints and its application to structural model updating problem pp. 1099-1135

- Santanu S. Dey, Dahye Han and Yang Wang
- Outer approximation scheme for weakly convex constrained optimization problems pp. 1137-1166

- Ewa M. Bednarczuk, Giovanni Bruccola, Jean-Christophe Pesquet and Krzysztof Rutkowski
Volume 94, issue 3, 2026
- Data-driven Lipschitz-informed convex underestimators for branch-and-bound optimization of black-box functions pp. 593-634

- Suryateja Ravutla and Fani Boukouvala
- An efficient global optimization algorithm with adaptive estimates of the local Lipschitz constants pp. 635-666

- Danny D’Agostino
- Quadratic convex reformulations for multiObjective binary quadratic programming pp. 667-698

- Marianna De Santis, Lucas Létocart and Yue Zhang
- SPLD polynomial optimization and bounded degree SOS hierarchies pp. 699-728

- Liguo Jiao, Jae Hyoung Lee and Nguyen Bui Nguyen Thao
- An optimization approach for transformed low tubal rank of third-order tensors pp. 729-753

- Jinjie Liu, Chen Ling, Erbo Zhao and Xinmin Yang
- A Bregman ADMM for Robust Fused Lasso Estimation with Doubly Nonconvex Regularizers pp. 755-782

- Yibao Fan, Zheng-Fen Jin, Youlin Shang and Deren Han
- A randomized algorithm for model-based sparse signal recovery pp. 783-807

- Huiyuan Yu, Maggie Cheng and Yingdong Lu
- Sparse Projection onto Semi-Symmetric Sets with Applications to Sparse Optimization pp. 809-844

- Jinglai Shen and Saeed Damadi
- On relation between bilevel programming problems and variational inequalities on hadamard manifolds with application to toll optimization problem pp. 845-872

- B. B. Upadhyay, I. M. Stancu-Minasian, Priyanka Mishra and Subham Poddar
- An effective branch and bound algorithm for generalized risk parity portfolio optimization pp. 873-890

- Jing Zhou, Lei Zhang and Wenxun Xing
Volume 94, issue 2, 2026
- Preface to the special issue on the $$8^\textrm{th}$$ 8 th world congress on global optimization pp. 309-310

- Panos M. Pardalos
- A bi-level programming problem of medicine procurement and production optimization pp. 311-345

- Wenjuan Fan, Jingwei Zhang, Kaining Shao, Shaowen Lan and Shuwan Zhu
- The limitation of neural nets for approximation and optimization pp. 347-376

- T. Giovannelli, O. Sohab and L. N. Vicente
- Parallel machine scheduling with position-dependent processing times and deteriorating maintenance activities pp. 377-397

- Chaoming Hu, Rui Zheng, Shaojun Lu and Xinbao Liu
- Using quadratic cuts to iteratively strengthen convexifications of box quadratic programs pp. 399-425

- Amélie Lambert and Daniel Porumbel
- Hybrid decomposition and deep learning approach for data-driven FOREX forecasting optimization pp. 427-457

- Michail G. Papatsimpas and Konstantinos E. Parsopoulos
- Non-convex optimization problems with linear KKT subsystem pp. 459-480

- Mujahid N. Syed
- A QoS and sustainability-driven two-stage service composition method in cloud manufacturing: combining clustering and bi-objective optimization pp. 481-516

- Chunhua Tang, Shuangyao Zhao, Han Su and Binbin Chen
- Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization pp. 517-538

- Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi and Pierluigi Mansueto
- Convergence rate of alternating projection method for the intersection of an affine subspace and the second-order cone pp. 539-567

- Hiroyuki Ochiai, Yoshiyuki Sekiguchi and Hayato Waki
- Optimality conditions and solution analysis at infinity for nonsmooth optimization problems pp. 569-591

- Nguyen Canh Hung and Nguyen Le Hoang Anh
Volume 94, issue 1, 2026
- Preface pp. 1-2

- Eligius M. T. Hendrix
- A linear-time algorithm to compute the conjugate of nonconvex bivariate piecewise linear-quadratic functions pp. 3-34

- Tanmaya Karmarkar and Yves Lucet
- Norm-induced cuts: outer approximation for Lipschitzian constraint functions pp. 35-63

- Adrian Göß, Alexander Martin, Sebastian Pokutta and Kartikey Sharma
- A kinematic smoothing method for tightening convex relaxations of ordinary differential equations pp. 65-93

- Huiyi Cao and Kamil A. Khan
- Column generation for multistage stochastic mixed-integer nonlinear programs with discrete state variables pp. 95-126

- Tushar Rathi, Benjamin P. Riley, Angela Flores-Quiroz and Qi Zhang
- Distributionally robust fractional optimization of probability of exceedance pp. 127-174

- M. A. Lejeune and H. N. Nguyen
- Voronoi candidates for Bayesian optimization pp. 175-201

- Nathan Wycoff, John W. Smith, Annie S. Booth and Robert B. Gramacy
- A Diagonal Quasi-Newton Method with Modified BFGS Update for Nonconvex Multiobjective Optimization pp. 203-233

- Qingjie Hu, Yanyan Zhang, Ruyun Li and Wanyou Cheng
- Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods pp. 235-263

- Feng-Yi Liao, Lijun Ding and Yang Zheng
- Monotone submodular maximization under the pairwise capacity constraint pp. 265-289

- Yuanyuan Qiang, Bin Liu and Weili Wu
- Equilibrium problems: existence criteria and applications pp. 291-308

- Mircea Balaj
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