Abstract While archaeology is certainly a politically conscious discipline, with various members involved in political and activist movements, especially focusing on gender race issues, little has been said, discussed, or done regards to class elitism. In fact, it seems that since the advent of postmodernity 1970s, elitism have become moot topics. The aim this article reflect upon class-based d...

A Multiclass classifier is an approach for designing classifiers for a m-class (m>=2) problem using genetic programming (GP). In this paper we proposed three methods named Triple Tournament Method, Special Mutation Method and a Step Wise Crossover method. In Special Mutation technique we are generating the two child from single parent and selecting the one child on the basis of fitness and also...

In recent years, there has been a growing interest in addressing dynamic optimization problems (DOPs) using evolutionary algorithms (EAs). Several approaches have been developed for EAs to increase the diversity of the population and enhance the performance of the algorithm for DOPs. Among these approaches, immigrants schemes have been found beneficial for EAs for DOPs. In this paper, random, e...

Elitism in education is often applied by a different and prefered approach to students belonging the so-called elite. This elite segregated developed, at expense of needs other students. Can elitism be one problems pedagogical practice with intellectually gifted ordinary inclusive primary schools? We carried out qualitative research environment schools observing school lessons interviews teache...

Multimemetic algorithms (MMAs) are memetic algorithms in which memes (interpreted as non-genetic expressions of problemsolving strategies) are explicitly represented and evolved alongside genotypes. This process is commonly approached using the standard genetic procedures of recombination and mutation to manipulate directly information at the memetic level. We consider an alternative approach b...

This paper reports the development and implementation of a Genetic Algorithm (GA) based on welding sequence optimization in which a structural deformation is computed as a fitness function. Moreover, a thermo-mechanical finite element analysis (FEA) was used to predict deformation. Elitism selection approach has been used to ensure that the three best individuals are copied over once into the n...