Group Intelligent Decision Optimization Based on Fireworks Algorithm

This study delves into the application of the fireworks algorithm (FWA) based on swarm intelligence decision in multi-device resource scheduling. By simulating the process of fireworks explosion, this algorithm efficiently searches for global optimal solutions, demonstrating good stability and optimization performance. In comparison to traditional heuristic algorithms, FWA shows advantages such as simplicity, local coverage, and robustness when addressing multi-device resource scheduling issues. Through experimental validation and result analysis, we conclude that the resource optimization model based on FWA exhibits significant superiority in multi-device resource scheduling, enabling faster identification of global optimal solutions and maintaining consistent optimization outcomes. Moreover, FWA displays high robustness and is applicable to various types of resource scheduling problems, particularly excelling in multi-device collaborative scenarios. In summary, this research presents an efficient and stable new method for tackling multi-device resource scheduling challenges, making a positive contribution to the advancement of intelligent connected vehicle technology and intelligent transportation systems. Moving forward, further exploration of FWA in more complex optimization problems is planned, with a focus on promoting the development of intelligent transportation systems and supporting the establishment of smart cities for sustainable development.