Simplified Genetic Algorithm: Simplify and Improve RGA for Parameter Optimizations

Combining Neural Network with Genetic Algorithm for prediction of S4 Parameter using GPS measurement

  The ionospheric plasma bubbles cause unpredictable changes in the ionospheric electron density. These variations in the ionospheric layer can cause a phenomenon known as the ionospheric scintillation. Ionospheric scintillation could affect the phase and amplitude of the radio signals traveling through this medium. This phenomenon occurs frequently around the magnetic equator and in low latitu...

Genetic Algorithms for Optimizations

a Simplified Model of Distributed Parameter Systems

A generalized simplified model for describing the dynamic behavior of distributed parameter systems is proposed. The various specific characteristics of gain and phase angle of distributed parameter systems are investigated from frequency response formulation and complex plane representation of the proposed simplified model. The complex plane investigation renders some important inequality cons...

Genetic algorithm parameter sets for line labelling

This paper concerns the use of genetic algorithms for line labelling. We are interested in finding an optimal set of algorithm control parameters for this problem. We give results from using a simple genetic algorithm to solve several line labelling problems and discuss the effects of crossover type, population size, crossover rate, mutation rate and iteration limit on algorithm performance. We...

Using Genetic Algorithm for Parameter Estimation

This is a learning note of genetic algorithm.