Chromosome aberrations are a sensitive indicator of genetic change, and the measurement of chromosome aberration frequency in peripheral blood lymphocytes is often used as a biological dosimeter of exposure (1,4). The length of time that cells are maintained in culture before cytogenetic analysis is probably the most important in vitro factor that influences both the frequency and types of aber...

The problem considered is the estimation of the evolutionary history of a collection of organisms in terms of a phylogenetic tree using genetic algorithm. This paper presents a new chromosome representation scheme for individuals in the population. A new stack based fitness evaluation method has been proposed to handle the populations generated in genetic algorithms. The problem of phylogenetic...

Nowadays, optimization problem have more application in all major but they have problem in computation. Computation global point in continuous functions have high calculation and this became clearer in large space .In this paper, we proposed SubDividing Genetic Method(SGM) that have less computation than other method for achieving global points . This method userotation mutation and crossover b...

An efficient method for scattering Genetic Algorithm (GA) individuals in the design space is proposed to accelerate airfoil shape optimization. The method used here is based on the variation of the mutation rate for each gene of the chromosomes by taking feedback from the current population. An adaptive method for airfoil shape parameterization is also applied and its impact on the optimum desi...

In this article, we propose a new type of genetic algorithm (GA), the forking GA (fGA), which divides the whole search space into subspaces, depending on the convergence status of the population and the solutions obtained so far. The fGA is intended to deal with multimodal problems that are difficult to solve using conventional GAs. We use a multipopulation scheme that includes one parent popul...

Genetic algorithm is a soft computing method that works on set of solutions. These solutions are called chromosome and the best one is the absolute solution of the problem. The main problem of this algorithm is that after passing through some generations, it may be produced some chromosomes that had been produced in some generations ago that causes reducing the convergence speed. From another r...

This paper presents a new genetic algorithm for the single machine total weighted tardiness scheduling problem, which is a strong NP-hard problem. The developmental focus has been on techniques to speed up execution in order to solve large-size problems. This genetic algorithm uses the natural permutation representation of a chromosome for encoding simplicity. Heuristic dispatching rules combin...

the interpretation of supernumerary chromosome is important for genetic counseling and prognosis. here, we used snp array and conventional karyotyping method to identify a denovo marker chromosome originated from chromosome 22 and 11 in a newborn transferred to the neonatal intensive care unit of shahid sadoughi hospital in 2015.  clinical abnormalities identified in the newborn were dysmorphic...