Toward a New Coordination Mechanism for Multi-Agent Systems Based on a Metaheuristic Approach
| dc.contributor.author | Mohammed el Habib , Souidi | |
| dc.date.accessioned | 2026-09-29T09:28:19Z | |
| dc.date.available | 2026-09-29T09:28:19Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Multi-agent systems (MAS) are now a critical tool for tackling complex problems in dynamic environments. Because of their high dimensionality and the computational complexity of these environments, it remains a significant challenge to coordinate these agents and plan their tasks and paths. The ability of metaheuristic approaches to find optimal solutions has often made them a promising option, but they struggle with issues like local optima, premature convergence, and a limited balance between exploration and exploitation. This thesis tackles these challenges by developing and evaluating the recent enhanced and hybridized metaheuristic algorithms tailored for solving MAS path planning and task coordination. The main contributions of this thesis include a new method for Particle Swarm Optimization (PSO), named IB-PSO, which presents a novel approach to dynamically increase the inertia weight (IW) parameter inspired by the Butterworth function. It enhances the balance between exploration and exploitation of the PSO algorithm. This method is designed to solve the MAS pathplanning problem. Furthermore, the research provides a hybrid approach named CSO, which combines the Crow Search Algorithm (CSA) and PSO. It is particularly designed for MAS path planning with collision avoidance, leveraging the strengths of CSA in exploration and PSO in exploitation, using the velocity regulating method. The performance of these proposed methods is evaluated and compared with existing enhanced techniques. Ultimately, this research introduces new optimization methods that help advance the field of MAS coordination. | |
| dc.identifier.uri | http://dspace.univ-khenchela.dz:4000/handle/123456789/11533 | |
| dc.language.iso | en | |
| dc.title | Toward a New Coordination Mechanism for Multi-Agent Systems Based on a Metaheuristic Approach | |
| dc.type | Thesis |