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针对烟花算法(FA)寻优过程中粒子间信息交流少、对最优点位置不在原点和原点附近的目标函数求解能力差的缺点,提出带有引力搜索算子的烟花算法(FAGSO).算子利用粒子间相互引力作用对粒子维度信息进行改善,以提高算法的优化性能.6个标准和增加位置偏移测试函数的仿真结果表明,FAGSO相比于FA、粒子群算法和引力搜索算法,在寻优速度和寻优精度方面有更好的优化性能.
Aiming at the shortcomings of poor communication ability between particles, such as less information exchange between particles and poor ability to solve the objective function when the optimal point is not located at the origin and the origin, a fireworks algorithm (FAGSO) with gravitational search operator is proposed. The particle’s gravitation information is improved by using the mutual gravitational interaction between particles to improve the performance of the algorithm.The simulation results of the six standard and additional position shift test functions show that the FAGSO compared with FA, particle swarm optimization algorithm and gravitation search algorithm, Optimized speed and optimization accuracy has better optimization performance.