Title :
A Matlab based universal CEM CAD optimizer
Author :
Boryssenko, Anatoliy ; Herscovici, Naftali
Author_Institution :
A&E Partnership, Belchertown, MA, USA
Abstract :
A Matlab based, Computational Electromagnetics (CEM) Computer-Aided Design (CAD) Optimization System is presented. This Numerical Electromagnetic Optimization system called NEMO is universal in the sense that it can be used in conjunction with any CEM engine, such as CST, HFSS and other custom designed CEM codes. The use of several commercial solvers, viz. HFSS and Periodic Boundary FDTD (PBFDTD) is demonstrated for several Evolutionary Optimization Algorithms (EOA) such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA). The NEMO system can work with different types of variables such as (i) geometric parameters, (ii) material electrical properties, (iii) RLC circuit elements; (iv) pixel and voxel structures.
Keywords :
RLC circuits; computational electromagnetics; finite difference time-domain analysis; frequency selective surfaces; genetic algorithms; particle swarm optimisation; simulated annealing; CEM computer-aided design; EOA; GA; HFSS; Matlab based universal CEM CAD optimizer; NEMO; PBFDTD; RLC circuit element; SA; computational electromagnetics; evolutionary optimization algorithms; genetic algorithm; geometric parameters; material electrical properties; numerical electromagnetic optimization system; particle swarm optimization; periodic boundary FDTD; simulated annealing; Algorithm design and analysis; Computational electromagnetics; Design automation; Engines; Genetic algorithms; MATLAB; Optimization;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6348751
