摘要
遗传算法通过模拟自然进化过程,搜索最优解,可以帮助解决通信系统中的优化问题,如信号处理、编码、路由选择等。同时,遗传算法具有并行性高、对问题领域知识依赖程度低等优点,适用于大规模复杂通信优化问题。通过研究遗传算法在通信中的应用策略,为不同的通信场景提供定制化的解决方案,提高通信系统的性能和安全性。在通信领域未来的发展中,遗传算法将会发挥越来越重要的作用,为通信技术的创新和发展提供新的解决思路和方法。
Genetic algorithm can help solve the optimization problems in communication system,such as signal processing,coding,routing and so on,by simulating the natural evolution process and searching for the optimal solution.At the same time,genetic algorithm has the advantages of high parallelism and low dependence on problem domain knowledge,and is suitable for large-scale complex communication optimization problems.By studying the application strategy of genetic algorithm in communication,this paper provides customized solutions for different communication scenarios and improves the performance and security of communication systems.In the future development of communication field,genetic algorithm will play an increasingly important role,providing new solutions and methods for the innovation and development of communication technology.
作者
刘文程
吕圣军
LIU Wencheng;LYU Shengjun(Zhijiang College of Zhejiang University of Technology,Shaoxing 312030,China)
出处
《通信电源技术》
2023年第21期185-187,共3页
Telecom Power Technology
基金
2022年教育部产学合作协同育人项目“iOS网络开发课程的‘以赛促学’教学模式改革与研究”(220606007202511)。
关键词
遗传算法
通信
应用策略
genetic algorithm
communication
application strategy
