The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem that allows to process operations on one machine out of a set of alternative machines. The FJSP is an NP-hard problem consisting of two sub-problems, which are the assignment and the scheduling problems. In this paper, we propose how to solve the FJSP by hybrid metaheuristics-based c...

many genetic disorders or possible abnormalities that may occur in the future generations can be predicted through analyzing the features of the chromosomes. for this purpose, karyotype is often used which to make it, there is necessary to identify each one of the 24 chromosomes from the microscopic images. the first step of this process is to define the morphological and band pattern based fea...

Given N data pairs {Xi, yi}, i = 1, 2, ..., N , where each Xi is an n-dimensional vector of independent variables (Xi =< xi1 , xi2 , . . . , xin >) and yi is a dependent variable, the function approximation problem (FAP) is finding a function that best explains the N pairs of Xi and yi. From the universal approximation theorem and inherent approximation capabilities proved by various researches...

In the traditional immune genetic algorithm, crossover and mutation can disrupt the superior chromosome, so make the algorithm took a long time to converge to the best solution. The way of crossover and mutation based on marginal product model which can make the algorithm converge quickly was proposed in order to avoid the disruption of the superior chromosome. The pseudo parallel evolution mec...

Genetic algorithm is a popular classification algorithm which creates a random population of candidate solutions and makes them to evolve into a suitable accurate solution for a given problem by processing them iteratively for several generations. During each generation the training data set is accessed by the genetic algorithm only for the population member’s fitness calculation and no other e...

breeding for resistance is one of the main approaches to control diseases. in this approach, there is a necessary for existence a sufficient genetic variability of resistance genes. accordingly, assessing the genetic variability in the available germplasm is needed to manage genetic resources. molecular markers are effective tools to investigate genetic diversity for resistance to pathogens. nb...

Replicating the genome prior to each somatic cell division not only requires precise duplication of the genetic information, but also accurately reestablishing the epigenetic signatures that instruct how the genetic material is to be interpreted in the daughter cells. The mammalian inactive X chromosome (Xi), which is faithfully inherited in a silent state in each daughter cell, provides an exc...

with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...