Global Institute for Optimization is a hub for rigorous, interdisciplinary research.

Through inclusive publishing, interdisciplinary dialogue, and a commitment to clarity, we strive to elevate the role of
optimization in shaping smarter systems and better futures.

Decision Support Systems

Tools that help leaders make better choices under uncertainty, resource constraints, or competing objectives.

AI-Optimization Integration

Combining machine learning with optimization for smarter scheduling, routing, and predictive modeling.

Open Science Initiative

Encouraging reproducibility and transparency through open-access publications and shared datasets.

Research & Publications

Peer-reviewed articles on theoretical advances and applied optimization in energy, transportation,
healthcare, agriculture, and manufacturing.

Not just academic — it’s a tool for solving real problems.

The Global Institute for Optimization is dedicated to advancing the science and application of optimization across disciplines. Our mission is to foster rigorous, accessible, and forward-thinking research that empowers decision- makers, educators, and innovators.

We build a collaborative platform where analytical excellence meets real-world impact — bridging theory and practice to solve complex challenges in industry, policy, and society.

Clarity, Creativity, and Collaboration

Whether you're an academic, practitioner, or interdisciplinary innovator, we’re looking for work that bridges theory and practice, and speaks to real-world impact. From convex analysis to combinatorial optimization, the Institute fosters breakthroughs in theory that underpin real-world solutions. We welcome original research, case studies, and thought pieces that explore the science, application, and accessibility of optimization across disciplines.

📅 Submission Deadlines: December (Winter), May (Summer)
📄 Papers Format: Academic 2000-9000 words, 20 minutes read. Full Guidelines
🌐 Email Your Manuscript: optimization-institute@gmail.com

Call for Papers 2025

The Journal of Global Institute for Optimization invites submissions for its inaugural issue. We welcome original research, case studies, and thought pieces that explore the science, application, and accessibility of optimization across disciplines.

  • Mathematical optimization and algorithm design
  • AI-integrated decision systems
  • Operations research in transportation, healthcare, energy, and manufacturing
  • Data-driven modeling and predictive analytics
  • Ethical and inclusive optimization practices
  • Educational approaches to teaching optimization

We seek papers that push boundaries in optimization, operations research, and analytics—especially those with interdisciplinary impact and practical relevance. Original research articles form the backbone of the journal, presenting novel algorithms, modeling techniques, or theoretical insights. These papers should demonstrate rigor through formal analysis, such as proofs of convergence, complexity assessments, or performance benchmarks. We especially value research that applies optimization methods to real-world systems, yielding measurable improvements in areas like logistics, energy, or public policy.

Methodological papers introduce new frameworks, simulation techniques, or hybrid approaches that advance the field. These contributions should be reproducible and generalizable across domains, offering readers robust tools for tackling complex problems. Examples include mixed-integer models for urban planning or stochastic approaches to supply chain resilience.

Tutorials and educational papers aim to make complex optimization concepts accessible to a broader audience. These contributions may include pedagogical strategies, visual explanations, or interactive tools, and are especially useful for students, practitioners, and interdisciplinary collaborators.

Software, data and tool papers introduce open-source libraries, datasets, platforms, or interfaces that support optimization research and practice. These papers should include documentation, structure, benchmarks, and use cases to demonstrate utility and encourage adoption.

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