This special issue focuses on the convergence of Multiple Objective Programming (MOP), Goal Programming (GP), and Artificial Intelligence (AI) for addressing complex decision-making problems in economic and social sciences. The issue welcomes substantially extended papers from the 16th International Conference on Multiple Objective Programming and Goal Programming (MOPGP'25, held 1–3 July 2025 in Varese, Italy), as well as original unpublished papers not presented at the conference.

The special issue explores how MOP provides structured evaluation of conflicting objectives, GP facilitates goal-setting for decision makers, and AI enhances decision models through data analytics and machine learning. It covers theoretical advances and practical applications spanning sustainable development, resource allocation, public policy, environmental economics, social welfare optimization, and various computational methods for multi-criteria decision analysis.

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

Potential topics

• Advancements in Multiple Objective Programming Techniques
• Goal Programming Techniques and Formulations
• Goal Programming Approaches in Public Policy
• AI-Enhanced Decision Support Systems for Resource Allocation
• Data-Driven Methods in Economic and Social Decision-Making
• Integrating Machine Learning with MOP
• Multicriteria Deep Learning
• Applications of MOP and GP in Sustainable Development
• Real-Time Decision-Making Frameworks Using AI
• Comparative Studies of MOP and GP in Various Contexts
• Multi-Criteria Decision Analysis in Sustainable Economics
• Multiple Criteria Decision Making in Environmental Economics
• Optimization Models for Social Welfare
• Behavioural Insights in Multi-Objective Decision-Making
• Metaheuristics and Computational Methods in MOP
• MOP and MCDM in AI applications
• Innovative Applications to Economic and Social Sciences

Timeline

• June 30, 2027: Submission deadline