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What is UAV Swarm Decision-Making via CPT-PIO about?

This paper presents a cumulative prospect theory-driven pigeon-inspired optimization (CPT-PIO) algorithm to improve dynamic decision-making in UAV swarms. By integrating gray relational analysis and information entropy with cumulative prospect theory, the algorithm enhances the evaluation of Pareto solutions and guides the optimization process, addressing challenges in multi-objective optimization. Simulation results indicate that CPT-PIO significantly outperforms existing algorithms in terms of search perf

Author

Bilel Bouchaour

Language

EN