Continuous Parameter Genetic Algorithm Research Articles

An impedance matching section based on composite right/left‐handed transmission line model in viewpoint of phase shift and noise figure

AbstractIn this paper, a genetic‐based synthesis approach for an impedance matching section based on a composite right‐/left‐handed (CRLH) transmission line model called CRLH transmission line impedance matching section (CRLHTLIMS) in viewpoint of transmission phase shift and noise figure is newly presented. To find the unknown values of right‐/left‐handed inductances and capacitances of a CRLHTLIMS, a type of global optimization algorithm called continuous parameter genetic algorithm is used. The length, transmission phase shift, and noise figure of the CRLHTLIMS are computed by using simple equations. Different examples for a uniform CRLHTLIMS are given. According to the results, this approach is an easy and effective way for the synthesis of transmission line impedance matching sections in viewpoint of transmission phase shift and noise figure.

Modified calculation for input impedance of probe‐fed and inset‐fed rectangular microstrip antennas

ABSTRACTAn approach to the modified calculation for input impedance of inset‐fed rectangular microstrip antenna and probe‐fed rectangular microstrip antenna with variable air gap and varying aspect ratio is presented. To modify the expressions for the input impedances of the antennas, continuous parameter genetic algorithm (CPGA) has been used. The results obtained by CPGA for different antenna dimensions are compared with the experimental and theoretical results given in the literature. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1650–1652, 2015

On rotationally invariant continuous-parameter genetic algorithms

We examine the rotational (in)variance of the continuous-parameter genetic algorithm (CPGA). We show that a standard CPGA, using blend crossover and standard mutation, is rotationally variant.To construct a rotationally invariant CPGA it is possible to modify the crossover operation to be rotationally invariant. This however results in a loss of diversity. Hence we introduce diversity in two ways: firstly using a modified mutation scheme, and secondly by adding a self-scaling random vector with a standard normal distribution, sampled uniformly from the surface of a n-dimensional unit sphere to the offspring vector. This formulation is strictly invariant, albeit in a stochastic sense only.We compare the three formulations in terms of numerical efficiency for a modest set of test problems; the intention not being the contribution of yet another competitive and/or superior CPGA variant, but rather to present formulations that are both diverse and invariant, in the hope that this will stimulate additional future contributions, since rotational invariance in general is a desirable, salient feature for an optimization algorithm.

A genetic approach to the synthesis of composite right/left-handed transmission line impedance matching sections

A genetic approach for the synthesis of composite right/left-handed (CRLH) transmission line impedance matching sections is presented. Continuous parameter genetic algorithm (CPGA) is used for the synthesis. Examples for a uniform CRLH transmission line impedance matching section and a nonuniform CRLH transmission line impedance matching section are given.

Application of adaptive feedback loop for ultra-violet femtosecond pulse shaper control

We apply an adaptive feedback loop to control a ultra-violet (UV) femtosecond pulse shaping apparatus. The adaptive feedback control is implemented by a continuous parameter genetic algorithm. We use the adaptive shaper to compensate for the pulse chirp. The genetic algorithm produces a pulse with a width of 115 fs, identical to that of the transformlimited pulse. We then apply the adaptive shaper to the Stokes pulse in a femtosecond coherent anti-Stokes Raman scattering (CARS) experiment on dipicolinic acid solution. The algorithm maximizes the first CARS beat signal at the probe pulse delay of 650 fs. We confirm that a transformlimited Stokes pulse achieves the best detection sensitivity.

Genetic approach to the minimization of the coupling between aircraft antennas

In this study, the optimization of the electromagnetic interference (EMI) induced by two aircraft onboard VHF–UHF transreceiver antennas is aimed. The EMI reduction is implemented by varying the antenna positions and orientations. The transreceiver antennas are modelled as single monopole antennas therefore the problem is reduced to antenna-to-antenna coupling optimization. The Method of Moments (MoM) is selected for the EMI analysis and the continuous parameter Genetic Algorithm (CPGA) is chosen for the optimization method. The results of the numerical analysis are verified by the measurement on a 1:10 scaled model in an anechoic chamber.

A continuous hybrid approach to the noise modelling of FETs

AbstractIn this work, a continuous hybrid approach (CHA) to determine the FET model elements for given noise parameters in a frequency band is presented. The CHA is based on a continuous parameter genetic algorithm and a controlled random search algorithm. The results obtained from the CHA are compared with the given noise and scattering parameters of the FET. This approach has been simply and effectively applied to the noise modelling of FETs. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 38: 56–60, 2003

A continuous hybrid approach to the FET modelling for the maximum transducer power gain

AbstractIn this work, a continuous hybrid approach (CHA) to the determination of the FET model elements for the maximum transducer power gain in a frequency band is presented. The CHA is based on a continuous parameter genetic algorithm and a controlled random search algorithm. The result obtained from the CHA are compared with the results obtained from the different types of genetic algorithm. The CHA gives better design than the others. © 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 35: 348–351, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10603

Application of Continuous Parameter Genetic Algorithm to the Problem of Synthesizing Bandpass Distributed Amplifiers

Summary Continuous parameter genetic algorithm (CPGA) is applied tosynthesis of monolithic GaAs FET bandpass distributed amplifiers for desired flat gain and maximum cutoff bandwidth. The results obtained by CPGA are compared with the results obtained by fuzzy genetic algorithm (FGA) and binary genetic algorithm (BGA).

Active Noise Control In a Cylindrical Cavity

An active control of the transmission of noise through an aircraft fuselage is investigated numerically. A cylinder-cavity system was used as a model for this study. The fuselage is modeled as a fi nite, thin shel cylinder with constant thickness. The sound field generated by an exterior monopole source is transmitted into the cavity through the cylinder. Point force actuators on the cylinder are driven by error sensor that is placed in 3D cavity. Modal coupling theory is used to formulate the numerical models and describe the system behavior. Minimization of the acoustic potential energy in the fuselage is carried out as a performance index. Continuous parameter genetic algorithm is used to search the optimal actuator position and both results are compared.