Special Session: Metaheuristics and Intelligent Systems for Complex Optimisation and Decision-Making
Many contemporary computational problems involve complex optimisation and decision-making processes that are large-scale, nonlinear, multi-objective, and subject to uncertainty. These challenges arise in a wide range of intelligent technologies and real-world systems, where classical optimisation methods are often insufficient. Metaheuristic approaches, including evolutionary computation and swarm intelligence, provide flexible and robust mechanisms for exploring complex search spaces and handling diverse problem structures. Their population-based, stochastic, and adaptive nature makes them well suited to problems involving conflicting objectives, dynamic environments, and limited problem knowledge. Intelligent systems further extend these capabilities by incorporating adaptive control, learning, and reasoning mechanisms that enable autonomous and efficient decision-making. While data-driven learning methods may support these systems, the primary focus of this session is on metaheuristic design, intelligent optimisation strategies, and decision processes, rather than on learning models alone.
This special session aims to present recent theoretical advances, algorithmic developments, and practical applications related to metaheuristics and intelligent systems, fostering discussion on emerging challenges and future research directions.
Topics of interest for submission include, but are not limited to:
* Metaheuristic algorithms for complex and large-scale optimisation
* Evolutionary computation and swarm intelligence
* Intelligent optimisation and decision-support systems
* Hybrid, adaptive, and self-organising metaheuristic methods
* Multi-objective, many-objective, and constrained optimisation
* Metaheuristics for system design, configuration, and control
* Autonomous and adaptive intelligent systems
* Explainable and transparent optimisation methods
* Metaheuristics in sequential decision-making and control
* Benchmarking, performance evaluation, and theoretical analysis
* Real-world applications in engineering and applied systems
Chair: Assoc. Prof. Marko Đurasević, University of Zagreb Faculty of Electrical Engineering and Computing, Croatia
Submit Method:
1, submit it via the link: http://confsys.iconf.org/submission/icmlt2026(after entering the link, click on the corresponding topic)
2, send your manuscript to icmlt_conf@163.com with subject "Submit+Special Session-1+Paper Title".
