Metaheuristics for Multi-Objective Optimization
Second International Conference on Innovative and Intelligent Information Technologies – IC3IT’26
- March 26-28, 2026
- Medina Solaria & Thalasso, Hammamet – Tunisia
Fouad Ben Abdelaziz; Ph. D. Distinguished Professor – Head of the MSc Artificial Intelligence for Business NEOMA Business School, France
Title: Metaheuristics for Multi-Objective Optimization
Abstract:
This plenary provides an overview of advanced metaheuristic methodologies for multi-objective optimization, emphasizing algorithmic developments, theoretical foundations, and performance analysis. Multi-objective problems commonly feature non-convex and discontinuous Pareto fronts, combinatorial explosion, and high-dimensional decision spaces, making classical deterministic optimization insufficient. Accordingly, the talk focuses on population-based and stochastic frameworks capable of generating high-quality Pareto approximations with convergence–diversity trade-offs.
We review major algorithmic families—including evolutionary multi-objective optimization, decomposition-based approaches, swarm-intelligence methods, and differential evolution variants—with detailed discussion of dominance relations, selection operators and decomposition strategies.
In addition to surveying the state of the art, the speaker will also present several of his own multi-objective optimization methods and demonstrate their performance relative to leading algorithms through extensive benchmarking. Real-world applications from engineering design, logistics, finance, and analytics will further illustrate the practical relevance of these techniques.
Short Bio:
Dr. Ben Abdelaziz is a Distinguished Professor at NEOMA Business School, France, where he chairs the MSc in Artificial Intelligence for Business. A former Senior Fulbright Scholar at the Rutgers Center for Operations Research (USA), he holds a PhD from Laval University (Canada), an MBA, and a BSc in Mathematics from the University of Tunis.
He has held academic positions at the University of Dubai, the American University of Beirut, and the University of Tunis, and has been a visiting scholar at institutions such as Pace University N.Y. USA, the University of Coimbra, Portugal, and the University of Milan, Italy.
His research focuses on multi-objective stochastic optimization and AI tools for multi-attribute portfolio selection, with publications in leading journals including EJOR, JORS, IJAR, FSS, ANOR, and CAIE. He has also served as Guest Editor for EJOR and FSS and has chaired major international conferences such as MOPGP, AFROS, and MCDM 2024.