Olga Battaïa, Kedge Business School

Yasser Dessouky, San Jose State University

Reza Zanjirani Farahani, Paris School of Business

Masood Fathi, University of Skövde

Madjid Tavana, La Salle University

Modern operations research faces challenges in dynamic and uncertain environments where traditional methodologies struggle. This special issue focuses on Collaborative Intelligence—integrating human expertise, artificial intelligence, and distributed problem-solving to enhance adaptability and efficiency in complex operations through multi-agent coordination, human-AI collaboration, and machine learning.

The special issue seeks research bridging autonomous AI systems and human decision-makers by combining computational power with human intuition and ethical reasoning. Contributions should address how collaborative approaches improve system resilience, handle uncertainty, and increase trust in AI-driven systems through theoretical advancements and computational methods that extend operations research to adaptive and multi-agent frameworks.

Researchers are invited to submit original contributions involving innovative mathematical models, algorithms, and practical applications demonstrating how collaborative intelligence enhances decision-making in complex operational environments, balancing theoretical rigor with practical relevance.

Appel publié par Annals of Operations Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Human-AI collaboration in OR models
• Integration of human judgment and preferences into AI-driven decision-making
• Visualization and interpretation of AI outputs
• Optimization algorithms for multi-agent systems
• Game-theoretic frameworks for multi-agent coordination
• Managing conflicts and uncertainties in multi-agent decision-making
• Adaptive OR frameworks
• Decentralized optimization algorithms
• Online learning and adaptive control techniques
• Machine learning and data analytics for OR
• Learning-based optimization algorithms
• Predictive analytics and simulation techniques
• Resilience planning
• Dynamic problem-solving in complex operations

Timeline

• December 31, 2026: Submission deadline