基于遗传算法的天线匹配网络研究

遗传算法是模拟生物进化过程而发展起来的一种优化和搜索求解极值问题的自组织、自适应的人工智能技术,其通过对一组编码进行简单的遗传操作和优胜劣汰来指导学习和确定进化的方向.遗传算法提供了一种求解非线性、多模型、多目标等复杂系统优化问题的通用框架.利用遗传算法针对天线匹配网络的设计进行研究,并利用安捷伦科技有限公司的ADS软件针对同一天线设计匹配网络,通过仿真结果证明利用遗传算法设计天线匹配网络的可行性与可靠性.

Research of Antenna Matching Networks Based on Genetic Algorithm

Genetic algorithm simulates biological evolution developed a kind of optimization and search for solving extre- mum problem of self - organizing, adaptive artificial intelligence technology, by a group of simple coding genetic operation and the survival of the fittest to guide the study and determine the direction of evolution. Genetic algorithm provides a solu- tion to the nonlinear, multiple model, multi-objective optimization problems of complex systems such as a generic frame- work. The genetic algorithm is used to the design of antenna matching network. And the use of science and technology limit- ed company ADS software for the same design of antenna matching network, through the simulation results prove the feasibil- ity and reliability of antenna matching network using genetic algorithm to design.