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 73, issue 4, 2019
- Lifted polymatroid inequalities for mean-risk optimization with indicator variables pp. 677-699

- Alper Atamtürk and Hyemin Jeon
- Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming pp. 701-722

- Tiago Andrade, Fabricio Oliveira, Silvio Hamacher and Andrew Eberhard
- Packing circles into perimeter-minimizing convex hulls pp. 723-759

- Josef Kallrath and Markus M. Frey
- On the complexity of quasiconvex integer minimization problem pp. 761-788

- A. Yu. Chirkov, D. V. Gribanov, D. S. Malyshev, P. M. Pardalos, S. I. Veselov and N. Yu. Zolotykh
- A mixed integer programming approach to the tensor complementarity problem pp. 789-800

- Shouqiang Du and Liping Zhang
- MiKM: multi-step inertial Krasnosel’skiǐ–Mann algorithm and its applications pp. 801-824

- Q. L. Dong, J. Z. Huang, X. H. Li, Y. J. Cho and Th. M. Rassias
- Generalized forward–backward splitting with penalization for monotone inclusion problems pp. 825-847

- Nimit Nimana and Narin Petrot
- A subgradient algorithm for a class of nonlinear split feasibility problems: application to jointly constrained Nash equilibrium models pp. 849-868

- Le Hai Yen, Nguyen Thi Thanh Huyen and Le Dung Muu
- Properties of the nonlinear scalar functional and its applications to vector optimization problems pp. 869-889

- Ying Gao and Xin-Min Yang
- On the hierarchical structure of Pareto critical sets pp. 891-913

- Bennet Gebken, Sebastian Peitz and Michael Dellnitz
Volume 73, issue 3, 2019
- Tighter $$\alpha $$ α BB relaxations through a refinement scheme for the scaled Gerschgorin theorem pp. 467-483

- Dimitrios Nerantzis and Claire S. Adjiman
- SDP-based branch-and-bound for non-convex quadratic integer optimization pp. 485-514

- Christoph Buchheim, Maribel Montenegro and Angelika Wiegele
- A generic interval branch and bound algorithm for parameter estimation pp. 515-535

- Bertrand Neveu, Martin Gorce, Pascal Monasse and Gilles Trombettoni
- On the spherical convexity of quadratic functions pp. 537-545

- O. P. Ferreira and S. Z. Németh
- Rigorous packing of unit squares into a circle pp. 547-565

- Tiago Montanher, Arnold Neumaier, Mihály Csaba Markót, Ferenc Domes and Hermann Schichl
- A topological convergence on power sets well-suited for set optimization pp. 567-581

- Michel H. Geoffroy
- Efficient global optimization of constrained mixed variable problems pp. 583-613

- Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi and Yannick Guerin
- Conditional optimization of a noisy function using a kriging metamodel pp. 615-636

- Diariétou Sambakhé, Lauriane Rouan, Jean-Noël Bacro and Eric Gozé
- Novel self-adaptive algorithms for non-Lipschitz equilibrium problems with applications pp. 637-657

- Pham Ky Anh and Trinh Ngoc Hai
- Revisiting norm optimization for multi-objective black-box problems: a finite-time analysis pp. 659-673

- Abdullah Al-Dujaili and S. Suresh
- Book Review: Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, and Panos M. Pardalos: Optimization and management in manufacturing engineering. Resource collaborative optimization and management through the Internet of Things. Springer optimization and its applications series pp. 675-676

- John Birge
Volume 73, issue 2, 2019
- Global optimization issues in deep network regression: an overview pp. 239-277

- Laura Palagi
- A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning pp. 279-310

- Hoai An Le Thi, Vinh Thanh Ho and Tao Pham Dinh
- A fast algorithm for globally solving Tikhonov regularized total least squares problem pp. 311-330

- Yong Xia, Longfei Wang and Meijia Yang
- Iteration-complexity analysis of a generalized alternating direction method of multipliers pp. 331-348

- V. A. Adona, M. L. N. Gonçalves and J. G. Melo
- Geometric properties for level sets of quadratic functions pp. 349-369

- Huu-Quang Nguyen and Ruey-Lin Sheu
- A sensitive-eigenvector based global algorithm for quadratically constrained quadratic programming pp. 371-388

- Cheng Lu, Zhibin Deng, Jing Zhou and Xiaoling Guo
- Robot path planning in a dynamic environment with stochastic measurements pp. 389-410

- Adriano Zanin Zambom, Brian Seguin and Feifei Zhao
- An inexact splitting method for the subspace segmentation from incomplete and noisy observations pp. 411-429

- Renli Liang, Yanqin Bai and Hai Xiang Lin
- Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor pp. 431-446

- Ryuta Tamura, Ken Kobayashi, Yuichi Takano, Ryuhei Miyashiro, Kazuhide Nakata and Tomomi Matsui
- Well-posedness and scalarization in set optimization involving ordering cones with possibly empty interior pp. 447-463

- Meenakshi Gupta and Manjari Srivastava
- Correction to: Optimal deterministic algorithm generation pp. 465-465

- Alexander Mitsos, Jaromił Najman and Ioannis G. Kevrekidis
Volume 73, issue 1, 2019
- Global optimization of generalized semi-infinite programs using disjunctive programming pp. 1-25

- Peter Kirst and Oliver Stein
- A projection-based reformulation and decomposition algorithm for global optimization of a class of mixed integer bilevel linear programs pp. 27-57

- Dajun Yue, Jiyao Gao, Bo Zeng and Fengqi You
- Spectral projected gradient method for stochastic optimization pp. 59-81

- Nataša Krejić and Nataša Krklec Jerinkić
- A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting pp. 83-112

- Minh N. Dao and Matthew K. Tam
- Convergence-order analysis for differential-inequalities-based bounds and relaxations of the solutions of ODEs pp. 113-151

- Spencer D. Schaber, Joseph K. Scott and Paul I. Barton
- The weighted horizontal linear complementarity problem on a Euclidean Jordan algebra pp. 153-169

- Xiaoni Chi, M. Seetharama Gowda and Jiyuan Tao
- A Bayesian optimization approach to find Nash equilibria pp. 171-192

- Victor Picheny, Mickael Binois and Abderrahmane Habbal
- The least squares solution of a class of generalized Sylvester-transpose matrix equations with the norm inequality constraint pp. 193-221

- Baohua Huang and Changfeng Ma
- Numbers of the connected components of the solution sets of monotone affine vector variational inequalities pp. 223-237

- Vu Trung Hieu
Volume 72, issue 4, 2018
- Maximum-entropy sampling and the Boolean quadric polytope pp. 603-618

- Kurt M. Anstreicher
- Equivalences and differences in conic relaxations of combinatorial quadratic optimization problems pp. 619-653

- N. Ito, S. Kim, M. Kojima, A. Takeda and K.-C. Toh
- Generalized Lagrangian duality for nonconvex polynomial programs with polynomial multipliers pp. 655-678

- T. D. Chuong and V. Jeyakumar
- Equivalent Lipschitz surrogates for zero-norm and rank optimization problems pp. 679-704

- Yulan Liu, Shujun Bi and Shaohua Pan
- A DC programming approach for solving multicast network design problems via the Nesterov smoothing technique pp. 705-729

- W. Geremew, N. M. Nam, A. Semenov, V. Boginski and E. Pasiliao
- Tractability of convex vector optimization problems in the sense of polyhedral approximations pp. 731-742

- Firdevs Ulus
- Variational inequality formulation for the games with random payoffs pp. 743-760

- Vikas Vikram Singh and Abdel Lisser
- A class of differential hemivariational inequalities in Banach spaces pp. 761-779

- Stanisław Migórski and Shengda Zeng
- Methods to compare expensive stochastic optimization algorithms with random restarts pp. 781-801

- Warren Hare, Jason Loeppky and Shangwei Xie
Volume 72, issue 3, 2018
- Globally solving a class of optimal power flow problems in radial networks by tree reduction pp. 373-402

- Amir Beck, Yuval Beck, Yoash Levron, Alex Shtof and Luba Tetruashvili
- Bundle-based descent method for nonsmooth multiobjective DC optimization with inequality constraints pp. 403-429

- Outi Montonen and Kaisa Joki
- A note on the Douglas–Rachford splitting method for optimization problems involving hypoconvex functions pp. 431-441

- Ke Guo and Deren Han
- Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems pp. 443-474

- Minh N. Dao and Hung M. Phan
- On upper approximations of Pareto fronts pp. 475-490

- I. Kaliszewski and J. Miroforidis
- Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality pp. 491-515

- Andrea Patanè, Andrea Santoro, Vittorio Romano, Antonino La Magna and Giuseppe Nicosia
- The fixed charge transportation problem: a strong formulation based on Lagrangian decomposition and column generation pp. 517-538

- Yixin Zhao, Torbjörn Larsson, Elina Rönnberg and Panos M. Pardalos
- Optimal channel assignment and L(p, 1)-labeling pp. 539-552

- Junlei Zhu, Yuehua Bu, Miltiades P. Pardalos, Hongwei Du, Huijuan Wang and Bin Liu
- An abstract proximal point algorithm pp. 553-577

- Laurenţiu Leuştean, Adriana Nicolae and Andrei Sipoş
- Limit vector variational inequality problems via scalarization pp. 579-590

- M. Bianchi, Igor Konnov and R. Pini
- On maximal monotonicity of bifunctions on Hadamard manifolds pp. 591-601

- J. X. Cruz Neto, F. M. O. Jacinto, P. A. Soares and J. C. O. Souza
Volume 72, issue 2, 2018
- On branching-point selection for trilinear monomials in spatial branch-and-bound: the hull relaxation pp. 129-153

- Emily Speakman and Jon Lee
- Unifying local–global type properties in vector optimization pp. 155-179

- Ovidiu Bagdasar and Nicolae Popovici
- A simplicial homology algorithm for Lipschitz optimisation pp. 181-217

- Stefan C. Endres, Carl Sandrock and Walter W. Focke
- A nonconvex quadratic optimization approach to the maximum edge weight clique problem pp. 219-240

- Seyedmohammadhossein Hosseinian, Dalila B. M. M. Fontes and Sergiy Butenko
- Exploiting algebraic structure in global optimization and the Belgian chocolate problem pp. 241-254

- Zachary Charles and Nigel Boston
- Global optimization of nonconvex problems with convex-transformable intermediates pp. 255-276

- Carlos J. Nohra and Nikolaos V. Sahinidis
- Convex envelopes of bivariate functions through the solution of KKT systems pp. 277-303

- Marco Locatelli
- Decomposition-based Inner- and Outer-Refinement Algorithms for Global Optimization pp. 305-321

- Ivo Nowak, Norman Breitfeld, Eligius M. T. Hendrix and Grégoire Njacheun-Njanzoua
- MultiGLODS: global and local multiobjective optimization using direct search pp. 323-345

- A. L. Custódio and J. F. A. Madeira
- A vector linear programming approach for certain global optimization problems pp. 347-372

- Daniel Ciripoi, Andreas Löhne and Benjamin Weißing
Volume 72, issue 1, 2018
- Preface: Special issue dedicated to Distance Geometry pp. 1-4

- Farid Alizadeh, Douglas Gonçalves, Nathan Krislock and Leo Liberti
- Low-rank matrix completion using nuclear norm minimization and facial reduction pp. 5-26

- Shimeng Huang and Henry Wolkowicz
- The minimum distance superset problem: formulations and algorithms pp. 27-53

- Leonardo Fontoura, Rafael Martinelli, Marcus Poggi and Thibaut Vidal
- A new algorithm for the small-field astrometric point-pattern matching problem pp. 55-70

- Cláudio P. Santiago, Carlile Lavor, Sérgio Assunção Monteiro and Alberto Kroner-Martins
- Minimal curvature-constrained networks pp. 71-87

- D. Kirszenblat, K. G. Sirinanda, M. Brazil, P. A. Grossman, J. H. Rubinstein and D. A. Thomas
- Mixed integer quadratically-constrained programming model to solve the irregular strip packing problem with continuous rotations pp. 89-107

- Luiz H. Cherri, Adriana C. Cherri and Edilaine M. Soler
- Tuning interval Branch-and-Prune for protein structure determination pp. 109-127

- Bradley Worley, Florent Delhommel, Florence Cordier, Thérèse E. Malliavin, Benjamin Bardiaux, Nicolas Wolff, Michael Nilges, Carlile Lavor and Leo Liberti
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