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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Kanso, Bilal
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Computer Science & IT Engineering

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Genetic algorithm for generalized time-window assignment problem Kansou, Ali; Kanso, Bilal; Wehbe, Houssein; Bazzi, Haydar; Mcheik, Ali
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1261-1274

Abstract

This paper presents a hybrid genetic algorithm (GA) for the generalized time-window assignment problem (GTWAP), a complex artificial intelligence (AI) scheduling challenge that involves assigning agents to resources under strict temporal and capacity constraints. Our method integrates a problem specific heuristics and a repair mechanism to generate feasible and high quality solutions. We provide a mathematical formulation for GTWAP and introduce a new public benchmark set, using CPLEX to obtain exact solutions. Computational experiments demonstrate that our GA is highly competitive with CPLEX, often matching its performance. This effectiveness makes our method a practical and scalable AI-driven tool for complex scheduling in domains like logistics and healthcare.
Co-Authors Bazzi, Haydar Kansou, Ali Mcheik, Ali Wehbe, Houssein