题 目: Nature Inspired Optimization Techniques and Their Application to Antenna Design 报告人： Prof. Gupta 时 间： 2014年11月3日（周一）15:00~16:00 地 点： 东南大学(四牌楼校区)李文正楼6楼北614会议室 主 办： 东南大学毫米波国家重点实验室 IEEE AP-MTT-EMC Joint Nanjing Chapter 江苏省电子学会天线与微波专委会 内容简介： Like any other system to be designed, antenna systems design also needs to be performed with a constrained optimization approach. Various useful antenna parameters like Gain, Bandwidth and Efficiency etc are to be balanced to yield an optimal solution suitable for a given application. This process of optimization if often impossible to achieve with a classical gradient based hard computing approach, because of the multivariate multimodal and extremely complex nature of the issues involved. Accordingly, in recent times efforts are being made to realize quasi optimal designs successfully by following optimization algorithms developed following various natural processes. Such algorithms include Genetic Algorithms, Simulated Annealing, Ant Colony Optimization, Particle Swarm Optimization, Differential Evolution etc along with their variants. This talk provides an overview of the underlying principle of such algorithms, as also their comparison in terms of utility in antenna related applications. Some successful designs of antenna system are finally presented to illustrate how these techniques can be applied to optimal antenna design problems. | ||
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