Genetic algorithm(GA) is widely fit to various kinds of problem but to fit a GA in any problem, it is important to design a good chromosome structure. It is also important to create a good fitness function which can be applicable to designed chromosome. The purpose of this article is to identify the parameter related to a cellular network and also identify how these parameters can be used to cr...

Epochal dynamics, in which long periods of stasis in population fitness are punctuated by sudden innovations, is a common behavior in both natural and artificial evolutionary processes. We use a recent quantitative mathematical analysis of epochal evolution to estimate, as a function of population size and mutation rate, the average number of fitness function evaluations to reach the global opt...

BACKGROUND Sedentary behaviour is a major risk factor for developing chronic diseases and is associated with low cardiorespiratory fitness in adults. It remains unclear how sedentary behaviour and different physical activity subcomponents are related to cardiorespiratory fitness in children. The purpose of this study was to assess how sedentary behaviour and different physical activity subcompo...

results among 78 participants (including 32 center and 46 side referees), mean and standard deviation of age, body mass index, percent of body fat, vo2max and performance scores were 37 ± 3.8, 23.6 ± 2.1, 20.7 ± 3.9, 59.9 ± 7.1 and 85.8 ± 0.25, respectively. no significant correlation between referees’ mean score and selected parameters were found. conclusions it seems that the acquired scores ...

Unraveling the factors that determine the rate of adaptation is a major question in evolutionary biology. One key parameter is the effect of a new mutation on fitness, which invariably depends on the environment and genetic background. The fate of a mutation also depends on population size, which determines the amount of drift it will experience. Here, we manipulate both population size and gen...