EURO Journal on Computational Optimization, Volume 10

Volume 10, January 2022

Regular Articles

• 
  Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, Andrea Schaerf:
  Multi-Neighborhood simulated annealing for the minimum interference frequency assignment problem. 100024
• 
  Luis Gustavo Nonato, Pedro S. Peixoto, Tiago Pereira, Claudia A. Sagastizábal, Paulo J. S. Silva:
  Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network. 100025

Editorial

• 
  Immanuel M. Bomze:
  The Marguerite Frank Award for the best EJCO paper 2021. 100026

Regular Articles

• 
  Anselmo Ramalho Pitombeira Neto, Arthur H. Fonseca Murta:
  A reinforcement learning approach to the stochastic cutting stock problem. 100027
• 
  Håkon Bentsen, Arild Hoff, Lars Magnus Hvattum:
  Exponential extrapolation memory for tabu search. 100028
• 
  Jeanette Schmidt, Stefan Irnich:
  New neighborhoods and an iterated local search algorithm for the generalized traveling salesman problem. 100029

Special issue on 20 years of EurOpt

• 
  Simge Küçükyavuz, Ruiwei Jiang:
  Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness. 100030
• 
  Thorsten Koch, Timo Berthold, Jaap Pedersen, Charlie Vanaret:
  Progress in mathematical programming solvers from 2001 to 2020. 100031

Regular Articles

• 
  Matteo Avolio, Antonio Fuduli:
  A Lagrangian heuristics for balancing the average weighted completion times of two classes of jobs in a single-machine scheduling problem. 100032

Special issue on 20 years of EurOpt

• 
  Tibor Illés, Tamás Terlaky:
  EUROpt, the Continuous Optimization Working Group of EURO: From idea to maturity. 100033

Regular Articles

• 
  Héctor G.-de-Alba, Samuel Nucamendi-Guillén, Oliver Avalos-Rosales:
  A mixed integer formulation and an efficient metaheuristic for the unrelated parallel machine scheduling problem: Total tardiness minimization. 100034

Special issue on Optimization Challenges in Data Science

• 
  Fred Roosta, Yang Liu, Peng Xu, Michael W. Mahoney:
  Newton-MR: Inexact Newton Method with minimum residual sub-problem solver. 100035

Special issue on 20 years of EurOpt

• 
  Miguel F. Anjos, Tibor Illés, Tamás Terlaky:
  Celebrating 20 years of EUROpt. 100036

Short Communication

• 
  Bo Peng:
  Performance comparison of two recently proposed copositivity tests. 100037

Special issue on Optimization Challenges in Data Science

• 
  Lindon Roberts, Edward Smyth:
  A simplified convergence theory for Byzantine resilient stochastic gradient descent. 100038

Special issue on 20 years of EurOpt

• 
  Sonia Cafieri, Tatiana V. Tchemisova, Gerhard-Wilhelm Weber:
  Twenty years of EUROPT, the EURO working group on Continuous Optimization. 100039

Regular Articles

• 
  Massimiliano Caramia, Giuseppe Stecca:
  Sustainable two stage supply chain management: A quadratic optimization approach with a quadratic constraint. 100040

Special issue on Optimization Challenges in Data Science

• 
  Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Saveliy Chezhegov, Rachael Tappenden, Martin Takác, Alexander V. Gasnikov:
  Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes. 100041

Regular Articles

• 
  John E. Beasley:
  An optimisation model for minimising changes in frequency allocations. 100042

Special issue on Optimization Challenges in Data Science

• 
  Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini, Philippe L. Toint:
  Trust-region algorithms: Probabilistic complexity and intrinsic noise with applications to subsampling techniques. 100043
• 
  Rémi Chan-Renous-Legoubin, Clément W. Royer:
  A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression. 100044
• 
  Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov:
  Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. 100045
• 
  Stefano Cipolla, Jacek Gondzio:
  Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations. 100046
• 
  Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik:
  Direct nonlinear acceleration. 100047
• 
  Ekaterina Borodich, Vladislav Tominin, Yaroslav Tominin, Dmitry Kovalev, Alexander V. Gasnikov, Pavel E. Dvurechensky:
  Accelerated variance-reduced methods for saddle-point problems. 100048

Regular Articles

• 
  Roberto Montemanni, Xiaochen Chou, Derek H. Smith:
  Upper and lower bounds based on linear programming for the b-coloring problem. 100049
• 
  Hanyu Gu, Hue Chi Lam, Yakov Zinder:
  A hybrid genetic algorithm for scheduling jobs sharing multiple resources under uncertainty. 100050
• 
  Christoph Neumann, Stefan Schwarze, Oliver Stein, Benjamin Müller:
  Feasible rounding based diving strategies in branch-and-bound methods for mixed-integer optimization. 100051