Genetic Algorithm is an algorithm based on population and many optimization problems are solved with this method, successfully. With increasing demand for computer attacks, security, efficient and reliable Internet has increased. Cryptographic systems have studied the science of communication is hidden, and includes two case categories including encryption, password and analysis. In this paper, several code analyses based on genetic algorithms, tabu search and simulated annealing for a permutation of encrypted text are investigated. The study also attempts to provide and to compare the performance in terms of the amount of check and control algorithms and the results are compared.

This paper presents an empirical investigation to study the effect of market management using Markowitz theorem. The study uses the information of 50 best performers on Tehran Stock Exchange over the period 2006-2009 and, using Markowitz theorem, the efficient asset allocation are determined and the result are analyzed. The proposed model of this paper has been solved using genetic algorithm. The results indicate that Tehran Stock Exchange has managed to perform much better than average world market in most years of studies especially on year 2009. The results of our investigation have also indicated that one could reach outstanding results using GA and forming efficient portfolio.

In the present study, to achieve a comprehensive view of pressure conditions in the Black Sea region, sea level pressure data in Reanalysis II database in National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) were used. The data temporal resolution is daily and the spatial resolution is 2.5×2.5 degrees of arc. The investigated framework covers the areas between -30-70 degrees east longitude and 20-70 degrees north latitude and has dimensions equal 41×21 pixels consisting of 861 pixels. The studied period of time is 33-year (1979 to 2012) and includes 12419 days and 861 spatial pixels. Therefore, sea level pressure data matrix is 12419×861, which has 12419 temporal pixels and 861 spatial ones. In other words, the arrangement of the data is S-shaped. The rows of the matrix represent time while columns represent space. At the end, using the cluster analysis, six sea level pressure circulation patterns based on the spatial - temporal features were obtained: Red Sea trough is fall pattern; Iraq trough is spring pattern; Persian Gulf trough is transitional pattern; Persian Gulf strong trough is summer pattern; Caucasian high pressure is fall - winter pattern and the Caucasian Strong high pressure is winter pattern. In most of these patterns, intensive allobaric conditions can be observed in the troughs and ridges.

This paper presents an empirical investigation to study the relationship between bank debt guarantee and profitability, increase in banks resources and customer retention. The proposed study has been implemented in one of Iranian banks located in city of Zanjan, Iran over the period of 10 years. The study has used Pearson correlation test to examine three hypotheses of the survey. The results indicate that there were positive and meaningful relationship between bank debt guarantee and profitability (r = 0.863, P-value = 0.001), a positive relationship between bank debt guarantee and bank resources (r = 0.708 with P-value = 0.015) and there was a positive and meaningful relationship between bank debt guarantee and customer retention (r = 0.252 with P-value = 0.001).

By everyday development of storage and communicational and electronic media, there are significant amount of information being collected and stored in different forms such as electronic documents and document databases makes it difficult to process them, properly. To extract knowledge from this large volume of documental data, we require the use of documents organizing and indexing methods. Among these methods, we can consider clustering and classification methods where the objective is to organize documents and to increase the speed of accessing to required information. In most of document clustering methods, the clustering is mostly executed based on word frequency and considering document as a bag of words. In this essay, in order to decrease the number of features and to choose basic document feature, we use background knowledge and word clustering methods. In fact by using WordNet ontology, background knowledge and clustering method, the similar words of documents are clustered and the clusters with the number of words more than threshold are chosen and then their frequency of words is accepted as the effective features of document. The results of this proposed method simulation shows that the documents dimensions are decreased effectively and consequently the performance of documents clustering is increased.

One of the most important methods for building good marketing strategy is to learn more about existing competitors, suppliers, etc. This paper presents an empirical investigation to study the relationship between wholesalers, bargaining pricing, new rivals and pricing strategy on preparing appropriate marketing strategy in meat market in city of shiraz, Iran. The proposed study designs a questionnaire in Likert scale and distributes it among 200 experts in this market. Cronbach alpha has been calculated as 97.3%, which validates the overall survey. The results of the implementation of Pearson correlation ratio indicate that there were some positive and meaningful relationships between all components of the survey with marketing strategy.

Positive affectivity and affective management are among important issues for the most desirable effectiveness of employees in the workplace. Accordingly, in this research, the role of meaning and spirituality at workplace is considered for job happiness, positive affect and job satisfaction. To this end, within a correlation study, with the selection of two hundred and four employees of two custom organizations in Esfahan and Tehran, in Iran, who answer meaning and spirituality at work, job happiness, positive affect and job satisfaction questionnaires, the research hypotheses have been tested through Pearson & apos; s correlation and structural equation modeling. The results showed that there were significant relationships between meaning and spirituality at work, job happiness, positive affect and job satisfaction. Results of structure equation modeling revealed that during two chain models, at first meaning and spirituality at work are linked to job happiness and positive effect. Then job happiness and positive effect cause reinforcement of job satisfaction. The results of this study showed that meaning and spirituality at work cause positive affective spillover from job happiness and positive affect to job satisfaction.

There are many evidences to believe that investors’ personal characteristics influence on their financial decisions when they purchase stocks, bounds, etc. In this paper, we present an empirical investigation to study the effects of 20 personal characteristics on 52 managers of mutual funds in Iran. Using Pearson correlation test, the study has detected that seven factors including anchoring & adjustment, framing, over confidence, illusion of control, hindsight, recency and self-attribution positively influence on investors’ behaviors. In addition, five factors including consistency, self-control, loss aversion, regret aversion and availability negatively influence on investors’ behaviors. However, the study did not find any evidence to confirm any kind of relationship of representativeness, conservatism, ambiguity aversion, optimism, mental accounting, confirmation and status quo on investors’ behaviors.

This paper performs an empirical investigation on employees’ business intelligence and customer relationship management and their effects on customer satisfaction. The proposed study has been implemented among 625 people, 240 sales representative and 385 regular customers, who are involved with products of an Iranian automaker named Iran Khodro. The proposed study designs three questionnaires in Likert scale for business intelligence, customer relationship management and customer satisfaction and Cronbach alpha have been calculated for these three questionnaires as 0.85, 0.84 and 0.78, respectively. The study distributes the questionnaires among groups, employees as well as customers, and using one-way t-student test as well as regression technique the study finds that business intelligence and customer relationship management are within an acceptable limit (P & LT; 0.01) and they positively influence on customers’ satisfaction (P & LT; 0.01).

This paper discusses the influence of the Organizational socialization, on Organizational commitment and turnover intention with regard to moderate effect of career aspirations intention. Data were collected via a questionnaire from employees of east branches of social security organization of Tehran. Path analysis of data from 155 respondents was used to test 5 hypotheses. The results show organizational socialization has positive effect on organizational commitment, but negative effect on turnover intention moreover organizational commitment and career aspiration intention have positive effect on turnover intention. Further research should examine the different dimensions of macro-environmental condition on turnover intention.