Simulation-based evolutionary method in antenna design optimization

Simulation-based evolutionary method in antenna design optimization

In this paper, a simulation-based optimizationmethod for the design of antenna patterns in mobile broadcasting, multi-bandwidth operation and the 802.11a WLAN is presented. The simulation-based genetic algorithm (GA) is advanced for the antenna design automation with requested specifications. The corresponding cost function in optimization is evaluated by an external numerical electromagnetic (...

A simulation-based evolutionary approach to LNA circuit design optimization

Evolutionary Selection in Simulation-Based Optimization

In this work we examine the effect of elitist and non-elitist selection on a supply chain problem. The problem is characterized by an output constraint which in turn separates the search space in a feasible and a non-feasible region. Additionally the simulation output is noisy due to a stochastic demand model. We will show analyze which strategy is able to perform a walk on the boundary between...

Design of Phased Antenna Arrays using Evolutionary Optimization Techniques

Mobile and wireless communication systems have now arrived at the point where substancial advances in antenna technology have become a critical issue. The majority of these systems consist of an antenna array combined with an appropriate signal processing (Soni et al., 2002; Godara, 2002), i.e., the antenna elements are allowed to work in concert by means of array element phasing, which is acco...

Applying evolutionary optimization on the airfoil design

In this paper, lift and drag coefficients were numerically investigated using NUMECA software in a set of 4-digit NACA airfoils. Two metamodels based on the evolved group method of data handling (GMDH) type neural networks were then obtained for modeling both lift coefficient (CL) and drag coefficient (CD) with respect to the geometrical design parameters. After using such obtained polynomial n...