Journal of Global Optimization
2004 - 2025
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 88, issue 4, 2024
- Separating disconnected quadratic level sets by other quadratic level sets pp. 803-829

- Huu-Quang Nguyen, Ya-Chi Chu and Ruey-Lin Sheu
- Approximation hierarchies for copositive cone over symmetric cone and their comparison pp. 831-870

- Mitsuhiro Nishijima and Kazuhide Nakata
- Globalized distributionally robust optimization based on samples pp. 871-900

- Yueyao Li and Wenxun Xing
- Robust second order cone conditions and duality for multiobjective problems under uncertainty data pp. 901-926

- Cao Thanh Tinh and Thai Doan Chuong
- Reference-point-based branch and bound algorithm for multiobjective optimization pp. 927-945

- Wei-tian Wu and Xin-min Yang
- Constrained multiobjective optimization of expensive black-box functions using a heuristic branch-and-bound approach pp. 947-978

- Donald R. Jones and Alberto Lovison
- Optimality and error bound for set optimization with application to uncertain multi-objective programming pp. 979-998

- Wenyan Han and Guolin Yu
- Multistage robust optimization for the day-ahead scheduling of hybrid thermal-hydro-wind-solar systems pp. 999-1034

- Zhiming Zhong, Neng Fan and Lei Wu
- Small polygons with large area pp. 1035-1050

- Christian Bingane and Michael J. Mossinghoff
- Proximal gradient algorithm with trust region scheme on Riemannian manifold pp. 1051-1076

- Shimin Zhao, Tao Yan and Yuanguo Zhu
Volume 88, issue 3, 2024
- Preface pp. 531-532

- Ilias Kotsireas, Panos Pardalos and Julius Žilinskas
- Open issues and recent advances in DC programming and DCA pp. 533-590

- Hoai An Le Thi and Tao Pham Dinh
- On $$\Delta $$ Δ -modular integer linear problems in the canonical form and equivalent problems pp. 591-651

- Dmitry Gribanov, Ivan Shumilov, Dmitry Malyshev and Panos Pardalos
- Landscape properties of the very large-scale and the variable neighborhood search metaheuristics for the multidimensional assignment problem pp. 653-683

- Alla Kammerdiner, Alexander Semenov and Eduardo L. Pasiliao
- Parallel algorithm portfolios with adaptive resource allocation strategy pp. 685-705

- Konstantinos E. Parsopoulos, Vasileios A. Tatsis, Ilias S. Kotsireas and Panos M. Pardalos
- Numerical methods using two different approximations of space-filling curves for black-box global optimization pp. 707-722

- Yaroslav D. Sergeyev, Maria Chiara Nasso and Daniela Lera
- An empirical study of various candidate selection and partitioning techniques in the DIRECT framework pp. 723-753

- Linas Stripinis and Remigijus Paulavičius
- On semidefinite programming relaxations for a class of robust SOS-convex polynomial optimization problems pp. 755-776

- Xiangkai Sun, Jiayi Huang and Kok Lay Teo
- Scalable Bayesian optimization with generalized product of experts pp. 777-802

- Saulius Tautvaišas and Julius Žilinskas
Volume 88, issue 2, 2024
- A bundle-type method for nonsmooth DC programs pp. 285-326

- Christian Kanzow and Tanja Neder
- A cooperative approach to efficient global optimization pp. 327-357

- Dawei Zhan, Jintao Wu, Huanlai Xing and Tianrui Li
- Relaxed method for optimization problems with cardinality constraints pp. 359-375

- Yan-Chao Liang and Gui-Hua Lin
- Constraint generation approaches for submodular function maximization leveraging graph properties pp. 377-394

- Eszter Csókás and Tamás Vinkó
- Intersecting ellipses induced by a max-sum matching pp. 395-407

- Polina Barabanshchikova and Alexandr Polyanskii
- Hausdorff distance between convex semialgebraic sets pp. 409-429

- Wenjie Zhao and Guangming Zhou
- Directional shadow price in linearly constrained nonconvex optimization models pp. 431-460

- Tao Jie and Gao Yan
- A utopia point method-based robust vector polynomial optimization scheme pp. 461-483

- Tianyi Han, Liguo Jiao, Jae Hyoung Lee and Junping Yin
- A singular value shrinkage thresholding algorithm for folded concave penalized low-rank matrix optimization problems pp. 485-508

- Xian Zhang, Dingtao Peng and Yanyan Su
- Time-dependent elliptic quasi-variational-hemivariational inequalities: well-posedness and application pp. 509-530

- Tie-jun Jiang, Dong-ling Cai, Yi-bin Xiao and Stanisław Migórski
Volume 88, issue 1, 2024
- Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms pp. 1-26

- Jack Noonan and Anatoly Zhigljavsky
- An oracle-based framework for robust combinatorial optimization pp. 27-51

- Enrico Bettiol, Christoph Buchheim, Marianna De Santis and Francesco Rinaldi
- Geometric multidimensional scaling: efficient approach for data dimensionality reduction pp. 53-77

- Gintautas Dzemyda and Martynas Sabaliauskas
- Low-rank matrix estimation via nonconvex optimization methods in multi-response errors-in-variables regression pp. 79-114

- Xin Li and Dongya Wu
- A graphic structure based branch-and-bound algorithm for complex quadratic optimization and applications to magnitude least-square problem pp. 115-137

- Cheng Lu, Jitao Ma, Zhibin Deng and Wenxun Xing
- Lipschitz-inspired HALRECT algorithm for derivative-free global optimization pp. 139-169

- Linas Stripinis and Remigijus Paulavičius
- A new partition method for DIRECT-type algorithm based on minimax design pp. 171-197

- Kai Jia, Xiaojun Duan, Zhengming Wang, Taihe Yi, Liang Yan and Xuan Chen
- Finding groups with maximum betweenness centrality via integer programming with random path sampling pp. 199-232

- Tomás Lagos, Oleg A. Prokopyev and Alexander Veremyev
- Dispersing facilities on planar segment and circle amidst repulsion pp. 233-252

- Vishwanath R. Singireddy and Manjanna Basappa
- Subdifferentials of optimal value functions under metric qualification conditions pp. 253-283

- Vu Thi Huong, Duong Thi Viet An and Hong-Kun Xu
Volume 87, issue 2, 2023
- Preface: special issue of MOA 2020 pp. 325-327

- Ya-Feng Liu, Zi Xu, Pavlo A. Krokhmal and Jiming Peng
- Fitting feature-dependent Markov chains pp. 329-346

- Shane Barratt and Stephen Boyd
- Solution sets of three sparse optimization problems for multivariate regression pp. 347-371

- Xiaojun Chen, Lili Pan and Naihua Xiu
- Randomized algorithms for the computation of multilinear rank- $$(\mu _1,\mu _2,\mu _3)$$ ( μ 1, μ 2, μ 3 ) approximations pp. 373-403

- Maolin Che, Yimin Wei and Yanwei Xu
- A proximal alternating minimization algorithm for the largest C-eigenvalue of piezoelectric-type tensors pp. 405-422

- Wenjie Wang, Haibin Chen, Yiju Wang and Guanglu Zhou
- Improved variance reduction extragradient method with line search for stochastic variational inequalities pp. 423-446

- Ting Li, Xingju Cai, Yongzhong Song and Yumin Ma
- An Entropy-Regularized ADMM For Binary Quadratic Programming pp. 447-479

- Haoming Liu, Kangkang Deng, Haoyang Liu and Zaiwen Wen
- Characterizing robust optimal solution sets for nonconvex uncertain semi-infinite programming problems involving tangential subdifferentials pp. 481-501

- Juan Liu, Xian-Jun Long and Xiang-Kai Sun
- A new global algorithm for factor-risk-constrained mean-variance portfolio selection pp. 503-532

- Huixian Wu, Hezhi Luo, Xianye Zhang and Jianzhen Liu
- An indefinite proximal subgradient-based algorithm for nonsmooth composite optimization pp. 533-550

- Rui Liu, Deren Han and Yong Xia
- Zeroth-order single-loop algorithms for nonconvex-linear minimax problems pp. 551-580

- Jingjing Shen, Ziqi Wang and Zi Xu
- A golden ratio proximal alternating direction method of multipliers for separable convex optimization pp. 581-602

- Hongmei Chen, Guoyong Gu and Junfeng Yang
- Approximation algorithms for the individually fair k-center with outliers pp. 603-618

- Lu Han, Dachuan Xu, Yicheng Xu and Ping Yang
- A relaxed inertial and viscosity method for split feasibility problem and applications to image recovery pp. 619-639

- Haitao Che, Yaru Zhuang, Yiju Wang and Haibin Chen
- A derivative-free scaling memoryless DFP method for solving large scale nonlinear monotone equations pp. 641-677

- Jiayun Rao and Na Huang
- Decision bounding problems for two-stage distributionally robust stochastic bilevel optimization pp. 679-707

- Xiaojiao Tong, Manlan Li and Hailin Sun
- Zeroth-order algorithms for nonconvex–strongly-concave minimax problems with improved complexities pp. 709-740

- Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma and Meisam Razaviyayn
- Quaternion matrix decomposition and its theoretical implications pp. 741-758

- Chang He, Bo Jiang and Xihua Zhu
- Painlevé-Kuratowski convergence of minimal solutions for set-valued optimization problems via improvement sets pp. 759-781

- Zai-Yun Peng, Xue-Jing Chen, Yun-Bin Zhao and Xiao-Bing Li
- Distributionally robust mean-absolute deviation portfolio optimization using wasserstein metric pp. 783-805

- Dali Chen, Yuwei Wu, Jingquan Li, Xiaohui Ding and Caihua Chen
- Multiobjective optimization with least constraint violation: optimality conditions and exact penalization pp. 807-830

- Jiawei Chen and Yu-Hong Dai
- A facial reduction approach for the single source localization problem pp. 831-855

- He Shi and Qingna Li
- A note on the SDP relaxation of the minimum cut problem pp. 857-876

- Hao Hu, Xinxin Li and Jiageng Wu
- Data-trading coordination with government subsidy pp. 877-915

- Kui Jing, Xin Liu, Fengmin Xu and Donglei Du
- A maximum hypergraph 3-cut problem with limited unbalance: approximation and analysis pp. 917-937

- Jian Sun, Zan-Bo Zhang, Yannan Chen, Deren Han, Donglei Du and Xiaoyan Zhang
- Some accelerated alternating proximal gradient algorithms for a class of nonconvex nonsmooth problems pp. 939-964

- Xin Yang and Lingling Xu
- An inexact primal–dual method with correction step for a saddle point problem in image debluring pp. 965-988

- Changjie Fang, Liliang Hu and Shenglan Chen
- Learning-augmented algorithms for online subset sum pp. 989-1008

- Chenyang Xu and Guochuan Zhang
- A mini-batch stochastic conjugate gradient algorithm with variance reduction pp. 1009-1025

- Caixia Kou and Han Yang
- IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming pp. 1027-1053

- Rui-Jin Zhang, Xin-Wei Liu and Yu-Hong Dai
Volume 87, issue 1, 2023
- Exchange rates and multicommodity international trade: insights from spatial price equilibrium modeling with policy instruments via variational inequalities pp. 1-30

- Anna Nagurney, Dana Hassani, Oleg Nivievskyi and Pavlo Martyshev
- Hesitant adaptive search with estimation and quantile adaptive search for global optimization with noise pp. 31-55

- Zelda B. Zabinsky and David D. Linz
- Extended McCormick relaxation rules for handling empty arguments representing infeasibility pp. 57-95

- Jason Ye and Joseph K. Scott
- Adaptive piecewise linear relaxations for enclosure computations for nonconvex multiobjective mixed-integer quadratically constrained programs pp. 97-132

- Moritz Link and Stefan Volkwein
- Mixed-integer programming techniques for the minimum sum-of-squares clustering problem pp. 133-189

- Jan Pablo Burgard, Carina Moreira Costa, Christopher Hojny, Thomas Kleinert and Martin Schmidt
- An effective global algorithm for worst-case linear optimization under polyhedral uncertainty pp. 191-219

- Huixian Wu, Hezhi Luo, Xianye Zhang and Haiqiang Qi
- Sparse conic reformulation of structured QCQPs based on copositive optimization with applications in stochastic optimization pp. 221-254

- Markus Gabl
- New semidefinite relaxations for a class of complex quadratic programming problems pp. 255-275

- Yingzhe Xu, Cheng Lu, Zhibin Deng and Ya-Feng Liu
- An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant pp. 277-300

- Xue Gao, Xingju Cai, Xiangfeng Wang and Deren Han
- On solving bi-objective constrained minimum spanning tree problems pp. 301-323

- Iago A. Carvalho and Amadeu A. Coco
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