Therefore, while the expression for the fixation probability (Equation 1) holds for any population size, the approximation for fitness (Equation 4) takes into account only the first-order effects of finite population size on offspring means and variances.
To overcome this problem, a novel Physics-Based Fitness Approximation (PBFA) approach is developed based on the contributon transport theory.
The sampling density probability is chosen per design proportional to a low-resolution approximation of the fitness function.
In conclusion, the procedure managed to find the optimal solutions within the design space while an improvement in computation time is achieved with the use of fitness approximation.
The functions of the fitness approximation are verified against the prediction methods and the design solutions of both evaluation methods are in compliance with each other.
The additions involve memory as a function of both discrete and continuous design variables, multivariate approximation of the fitness function in terms of several continuous design variables, and localized search based on the multivariate approximation.
Long term thermal power plant operation performance monitoring depending on (i) accuracy and precision of steady state identification method and (ii) fitness approximation per process variable versus mean value active power.
For those discrete designs that occur frequently, an evolving database of continuous variable values is used to construct a spline approximation to the fitness as a function of the single continuous variable.
The introduction of an approximation level for fitness evaluation of generated test data and the definition of an efficient test strategy for processing test goals, increases the performance of evolutionary testing considerably.
Applications of ANNs include but are not limited to clustering, regression analysis, estimating functions, fitness approximation, novelty detection, data processing as well as time series prediction.
