论文部分内容阅读
新的无线网络技术设备的发展使得多种无线技术共存的异构无线网络渐渐地替代了单一技术构成的同构无线网络。为了获得高覆盖、低成本与低辐射的室内异构无线网络,提出了一个遗传算法与类粒子群算法相结合的混合算法。这个算法具备遗传算法搜索的广度及类离子群算法搜索的深度,并且避免了过早收敛于局部。算法被应用于多目标异构无线网络的规划中,仿真结果证明,这个混合算法能有效地实现多目标的无线网络规划方案的优化。
The development of new wireless network technology equipment makes a variety of wireless technologies coexist heterogeneous wireless networks gradually replaced by a single technology constitutes a homogeneous wireless network. In order to obtain indoor heterogeneous wireless networks with high coverage, low cost and low radiation, a hybrid algorithm based on genetic algorithm and PSO is proposed. This algorithm has the breadth of genetic algorithm search and the depth of searching for ion-like algorithms, and avoids premature convergence to local. The algorithm is applied to the planning of multi-target heterogeneous wireless networks. The simulation results show that the hybrid algorithm can effectively optimize the multi-target wireless network planning scheme.