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.