Aims & Scopes

Optimization Eruditorum (OPER) is a peer-reviewed international journal dedicated to the mathematical foundations, computational methodologies, and practical applications of optimization. OPER aims to serve as an open platform for researchers, mathematicians, and practitioners to disseminate original research, innovative techniques, and rigorous analyses in optimization theory and its diverse applications.

The journal emphasizes both theoretical developments and application-driven studies, fostering connections between mathematical optimization and real-world decision-making problems across scientific, engineering, and industrial domains.

Focused Areas

• Mathematical Programming and Optimization Theory
  OPER invites contributions in mathematical programming, including linear, nonlinear, and integer programming, along with advances in convex analysis, variational analysis, and related theoretical frameworks.
• Vector and Set Optimization
  The journal welcomes research on vector optimization, set optimization, multi-objective optimization, and related analytical and computational aspects.
• Robust and Stochastic Optimization
  Contributions addressing optimization under uncertainty, including robust optimization, stochastic optimization, and stochastic models, are encouraged.
• Discrete and Combinatorial Optimization
  Research on discrete optimization, combinatorial methods, and algorithmic approaches for complex optimization problems.
• Optimization under Uncertainty
  Studies focusing on modeling, analysis, and solution techniques for optimization problems involving uncertainty and incomplete information.
• Operations Research and Decision Sciences
  Applications of optimization in operations research, including public sector systems, policy modeling, and decision-making frameworks.
• Scheduling, Networks, and Logistics
  Optimization methods applied to scheduling, network planning, transportation systems, and logistics.
• Engineering and Applied Optimization
  Applications in engineering design, image processing, and related computational and applied domains.
• Supply Chain and Production Systems
  Research addressing inventory management, supply chain optimization, and production planning.

Publication Types

• Original Research Articles presenting significant theoretical or applied contributions
• Review Articles offering comprehensive surveys of optimization research areas
• Review Articles offering comprehensive surveys of optimization research areas
• Perspectives and Opinions discussing emerging directions and challenges
• Case Studies demonstrating applications of optimization techniques in practice

Audience

OPER targets researchers, graduate students, and professionals in mathematics, operations research, engineering, and data-driven sciences, providing a specialized platform for the dissemination of novel methodologies and theoretical developments in optimization.