Five PV Model Parameters Determination Through PSO and Genetic Algorithm, a Comparative Study

In this work, we havepresented the principles of the genetic algorithm functioning , itsapplication to the laminated composites and to the originaltechnique of coding which

This histogram (Figu 6) represents the rupture factor by deformation and the critical buckling factor of the individual optimal after the generation of the final

In fact, the best solution found by the GA, here called H-GA, uses only 31% of the dimensions from the canonical version of the descriptor and still achieves a similar performance.

In recent years, a great number of research results has been produced in active vibration control of flexible structures using piezoelectric actuators and sensors.. It is obvious

Hemmer W, Riesinger I, Wallimann T, Eppenberger HM, Quest AF (1993) Brain-type creatine kinase in photoreceptor cell outer segments: role of a phosphocreatine circuit in outer

Once a type of production is categorised by the two main factors (quantity and number of batches) its optimal dispersion can be obtained using the genetic algorithm with

Ex- perimental results on five instances show that when compared to the results obtained from the state-of-the-art methods that used weighted summation approach, the proposed

A hybrid estimation method is proposed to estimate simultaneously the kinetic and energetic parameters of chemical models. This method combines a genetic algorithm with a