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 81, issue 4, 2021
- A geometric branch and bound method for robust maximization of convex functions pp. 835-859

- Fengqiao Luo and Sanjay Mehrotra
- Branch-and-price for a class of nonconvex mixed-integer nonlinear programs pp. 861-880

- Andrew Allman and Qi Zhang
- On global subdifferentials with applications in nonsmooth optimization pp. 881-900

- Felipe Lara and Alireza Kabgani
- A power penalty approach to a mixed quasilinear elliptic complementarity problem pp. 901-918

- Yarui Duan, Song Wang and Yuying Zhou
- Integer programming formulations and efficient local search for relaxed correlation clustering pp. 919-966

- Eduardo Queiroga, Anand Subramanian, Rosa Figueiredo and Yuri Frota
- ORCA: Outlier detection and Robust Clustering for Attributed graphs pp. 967-989

- Srinivas Eswar, Ramakrishnan Kannan, Richard Vuduc and Haesun Park
- Error bound of critical points and KL property of exponent 1/2 for squared F-norm regularized factorization pp. 991-1017

- Ting Tao, Shaohua Pan and Shujun Bi
- Solving nonnegative sparsity-constrained optimization via DC quadratic-piecewise-linear approximations pp. 1019-1055

- Chungen Shen and Xiao Liu
- Experimental analysis of local searches for sparse reflexive generalized inverses pp. 1057-1093

- Marcia Fampa, Jon Lee, Gabriel Ponte and Luze Xu
- Exact SDP reformulations of adjustable robust linear programs with box uncertainties under separable quadratic decision rules via SOS representations of non-negativity pp. 1095-1117

- T. D. Chuong, V. Jeyakumar, G. Li and D. Woolnough
Volume 81, issue 3, 2021
- Detecting optimality and extracting solutions in polynomial optimization with the truncated GNS construction pp. 559-598

- María López Quijorna
- An objective penalty function method for biconvex programming pp. 599-620

- Zhiqing Meng, Min Jiang, Rui Shen, Leiyan Xu and Chuangyin Dang
- Exclusion regions for parameter-dependent systems of equations pp. 621-644

- Bettina Ponleitner and Hermann Schichl
- A modified simplex partition algorithm to test copositivity pp. 645-658

- Mohammadreza Safi, Seyed Saeed Nabavi and Richard J. Caron
- An exact separation algorithm for unsplittable flow capacitated network design arc-set polyhedron pp. 659-689

- Liang Chen, Wei-Kun Chen, Mu-Ming Yang and Yu-Hong Dai
- A dual approach to multi-dimensional assignment problems pp. 691-716

- Jingqun Li, Thia Kirubarajan, R. Tharmarasa, Daly Brown and Krishna R. Pattipati
- Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods pp. 717-748

- Hao Wang, Fan Zhang, Yuanming Shi and Yaohua Hu
- Dual-density-based reweighted $$\ell _{1}$$ ℓ 1 -algorithms for a class of $$\ell _{0}$$ ℓ 0 -minimization problems pp. 749-772

- Jialiang Xu and Yun-Bin Zhao
- Improved interval methods for solving circle packing problems in the unit square pp. 773-803

- Mihály Csaba Markót
- A branch-cut-and-price algorithm for optimal decoding in digital communication systems pp. 805-834

- Banu Kabakulak, Z. Caner Taşkın and Ali Emre Pusane
Volume 81, issue 2, 2021
- Decomposition in derivative-free optimization pp. 269-292

- Kaiwen Ma, Nikolaos V. Sahinidis, Sreekanth Rajagopalan, Satyajith Amaran and Scott J Bury
- Global solutions of nonconvex standard quadratic programs via mixed integer linear programming reformulations pp. 293-321

- Jacek Gondzio and E. Alper Yıldırım
- A variational approach to the alternating projections method pp. 323-350

- Carlo Alberto Bernardi and Enrico Miglierina
- Optimality conditions based on the Fréchet second-order subdifferential pp. 351-365

- D. T. V. An and N. D. Yen
- A branch-and-bound algorithm for solving max-k-cut problem pp. 367-389

- Cheng Lu and Zhibin Deng
- Scenario-based cuts for structured two-stage stochastic and distributionally robust p-order conic mixed integer programs pp. 391-433

- Manish Bansal and Yingqiu Zhang
- Copula theory approach to stochastic geometric programming pp. 435-468

- Rashed Khanjani-Shiraz, Salman Khodayifar and Panos M. Pardalos
- Model risk in mean-variance portfolio selection: an analytic solution to the worst-case approach pp. 469-491

- Roberto Baviera and Giulia Bianchi
- Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization pp. 493-528

- Ken Kobayashi, Yuichi Takano and Kazuhide Nakata
- Detecting and solving aircraft conflicts using bilevel programming pp. 529-557

- Martina Cerulli, Claudia D’Ambrosio, Leo Liberti and Mercedes Pelegrín
Volume 81, issue 1, 2021
- Preface to the special issue of JOGO on the occasion of the 40th anniversary of the Group for Research in Decision Analysis (GERAD) pp. 1-2

- Daniel Aloise, Gilles Caporossi and Sébastien Digabel
- Learning chordal extensions pp. 3-22

- Defeng Liu, Andrea Lodi and Mathieu Tanneau
- The conditional p-dispersion problem pp. 23-83

- Marilène Cherkesly and Claudio Contardo
- Learning discontinuous piecewise affine fitting functions using mixed integer programming over lattice pp. 85-108

- Ruobing Shen, Bo Tang, Leo Liberti, Claudia D’Ambrosio and Stéphane Canu
- Advances in verification of ReLU neural networks pp. 109-152

- Ansgar Rössig and Milena Petkovic
- Resolving sets and integer programs for recommender systems pp. 153-178

- Alain Hertz, Tsvi Kuflik and Noa Tuval
- An outer–inner linearization method for non-convex and nondifferentiable composite regularization problems pp. 179-202

- Minh Pham, Xiaodong Lin, Andrzej Ruszczyński and Yu Du
- Surrogate optimization of deep neural networks for groundwater predictions pp. 203-231

- Juliane Müller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko and Deborah Agarwal
- Optimal decision trees for categorical data via integer programming pp. 233-260

- Oktay Günlük, Jayant Kalagnanam, Minhan Li, Matt Menickelly and Katya Scheinberg
- Using symbolic calculations to determine largest small polygons pp. 261-268

- Charles Audet, Pierre Hansen and Dragutin Svrtan
Volume 80, issue 4, 2021
- Linearization of McCormick relaxations and hybridization with the auxiliary variable method pp. 731-756

- Jaromił Najman, Dominik Bongartz and Alexander Mitsos
- Convex hull representations for bounded products of variables pp. 757-778

- Kurt M. Anstreicher, Samuel Burer and Kyungchan Park
- On new methods to construct lower bounds in simplicial branch and bound based on interval arithmetic pp. 779-804

- B. G.-Tóth, L. G. Casado, E. M. T. Hendrix and F. Messine
- Generalizing 0-1 conflict hypergraphs and mixed conflict graphs: mixed conflict hypergraphs in discrete optimization pp. 805-840

- Andriy Shapoval and Eva K. Lee
- Proximal-like incremental aggregated gradient method with Bregman distance in weakly convex optimization problems pp. 841-864

- Zehui Jia, Jieru Huang and Xingju Cai
- MVMOO: Mixed variable multi-objective optimisation pp. 865-886

- Jamie A. Manson, Thomas W. Chamberlain and Richard A. Bourne
- Optimizing generalized kernels of polygons pp. 887-920

- Alejandra Martinez-Moraian, David Orden, Leonidas Palios, Carlos Seara and Paweł Żyliński
- Unique solvability of weakly homogeneous generalized variational inequalities pp. 921-943

- Xueli Bai, Mengmeng Zheng and Zheng-Hai Huang
- Dynamical system for solving bilevel variational inequalities pp. 945-963

- Pham Ky Anh and Trinh Ngoc Hai
- Lagrangian relaxation based heuristics for a chance-constrained optimization model of a hybrid solar-battery storage system pp. 965-989

- Bismark Singh and Bernard Knueven
Volume 80, issue 3, 2021
- An interval branch and bound method for global Robust optimization pp. 507-522

- Emilio Carrizosa and Frédéric Messine
- Partially distributed outer approximation pp. 523-550

- Alexander Murray, Timm Faulwasser, Veit Hagenmeyer, Mario E. Villanueva and Boris Houska
- Near optimal minimal convex hulls of disks pp. 551-594

- Josef Kallrath, Joonghyun Ryu, Chanyoung Song, Mokwon Lee and Deok-Soo Kim
- Maximizing DR-submodular+supermodular functions on the integer lattice subject to a cardinality constraint pp. 595-616

- Zhenning Zhang, Donglei Du, Yanjun Jiang and Chenchen Wu
- Bounds on efficient outcomes for large-scale cardinality-constrained Markowitz problems pp. 617-634

- Janusz Miroforidis
- Smoothing Newton method for nonsmooth second-order cone complementarity problems with application to electric power markets pp. 635-659

- Pin-Bo Chen, Gui-Hua Lin, Xide Zhu and Fusheng Bai
- Approximation algorithm for minimum power partial multi-coverage in wireless sensor networks pp. 661-677

- Yingli Ran, Xiaohui Huang, Zhao Zhang and Ding-Zhu Du
- Efficient approximation of the metric CVRP in spaces of fixed doubling dimension pp. 679-710

- Michael Khachay, Yuri Ogorodnikov and Daniel Khachay
- An optimization approach for winner determination problem considering transportation cost discounts pp. 711-728

- Fang Yang and Yao-Huei Huang
- Review on the monograph Deterministic Global Optimization: An Introduction to the Diagonal Approach, Springer, 2017, written by Yaroslav D. Sergeyev and Dmitri E. Kvasov pp. 729-730

- Timoleon Kipouros
Volume 80, issue 2, 2021
- Solving unconstrained 0-1 polynomial programs through quadratic convex reformulation pp. 231-248

- Sourour Elloumi, Amélie Lambert and Arnaud Lazare
- Convexification techniques for linear complementarity constraints pp. 249-286

- Trang T. Nguyen, Jean-Philippe P. Richard and Mohit Tawarmalani
- Convexification of bilinear forms through non-symmetric lifting pp. 287-305

- Marcia Fampa and Jon Lee
- Solving mixed-integer nonlinear optimization problems using simultaneous convexification: a case study for gas networks pp. 307-340

- Frauke Liers, Alexander Martin, Maximilian Merkert, Nick Mertens and Dennis Michaels
- Cheaper relaxation and better approximation for multi-ball constrained quadratic optimization and extension pp. 341-356

- Zhuoyi Xu, Yong Xia and Jiulin Wang
- On tackling reverse convex constraints for non-overlapping of unequal circles pp. 357-385

- Akang Wang and Chrysanthos E. Gounaris
- A robust method based on LOVO functions for solving least squares problems pp. 387-414

- E. V. Castelani, R. Lopes, W. V. I. Shirabayashi and F. N. C. Sobral
- A smoothing quasi-Newton method for solving general second-order cone complementarity problems pp. 415-438

- Jingyong Tang and Jinchuan Zhou
- A method for convex black-box integer global optimization pp. 439-477

- Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan M. Wild
- Inexact stochastic subgradient projection method for stochastic equilibrium problems with nonmonotone bifunctions: application to expected risk minimization in machine learning pp. 479-505

- Hideaki Iiduka
Volume 80, issue 1, 2021
- Preface of the special issue on global multiobjective optimization pp. 1-2

- Kaisa Miettinen and Serpil Sayin
- Inverse multiobjective optimization: Inferring decision criteria from data pp. 3-29

- Bennet Gebken and Sebastian Peitz
- Nonconvex constrained optimization by a filtering branch and bound pp. 31-61

- Gabriele Eichfelder, Kathrin Klamroth and Julia Niebling
- Proximity measures based on KKT points for constrained multi-objective optimization pp. 63-86

- Gabriele Eichfelder and Leo Warnow
- One-exact approximate Pareto sets pp. 87-115

- Arne Herzel, Cristina Bazgan, Stefan Ruzika, Clemens Thielen and Daniel Vanderpooten
- Multi-objective convex polynomial optimization and semidefinite programming relaxations pp. 117-138

- Jae Hyoung Lee, Nithirat Sisarat and Liguo Jiao
- Duality in nonconvex vector optimization pp. 139-160

- Refail Kasimbeyli and Masoud Karimi
- Essential stability in unified vector optimization pp. 161-175

- Shiva Kapoor and C. S. Lalitha
- Necessary conditions for weak minima and for strict minima of order two in nonsmooth constrained multiobjective optimization pp. 177-193

- Elena Constantin
- A general branch-and-bound framework for continuous global multiobjective optimization pp. 195-227

- Gabriele Eichfelder, Peter Kirst, Laura Meng and Oliver Stein
- Correction to: A general branch-and-bound framework for continuous global multiobjective optimization pp. 229-229

- Gabriele Eichfelder, Peter Kirst, Laura Meng and Oliver Stein
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