Multiple Objective Programming and Goal Programming: Artificial Intelligence for Decision Making in Economic and Social Sciences

Éditeurs invités

• Matteo Rocca, University of Insubria
• Davide La Torre, Skema Business School
• Constantin Zopounidis, Technical University of Crete

Synthèse

This special issue focuses on the intersection of Multiple Objective Optimization, Goal Programming, and Artificial Intelligence, addressing complex decision-making challenges in economics and social sciences. The collection seeks papers that combine these three domains to develop frameworks where optimization methods prioritize conflicting objectives, goal programming establishes specific targets, and AI enhances decision models through data analytics and machine learning.

The special issue welcomes both papers substantially extending contributions presented at the 16th International Conference on Multiple Objective Programming and Goal Programming (MOPGP'25) and new original work addressing theories and applications of MOP, GP, and AI in economic and social contexts.

Thèmes proposés

• 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