光通信中零色散光栅滤波器的粒子群优化算法设计

Particle Swarm Optimization Algorithms in Synthesis of Fiber Gratings for the Non-Dispersion Filters in the Optical Communication

介绍了光通信中零色散光栅滤波器的一种粒子群优化算法(PSO),通过将龙格-库塔计算的反射谱和粒子群优化算法相结合,对零色散光栅耦合系数进行了优化设计.相对于其他算法,PSO的优势在于简单易行且功能较强.

A novel particle swarm optimization algorithm is introduced for the synthesis of fiber grating for the non-dispersion filters in the optical communication. By combining the Runge-Kutta method for calculating the reflection spectrum of a fiber grating and the particle swarm optimization algorithm, The coupling coefficient is optimized for the non-dispersion filters. PSO have become the hotspot of evolutionary computation because of its excellent performance and simple implementation.