background & aim: background & aim: physical fitness is essential for maintaining optimal health and can be achieved and improved by doing physical activities. maximal oxygen consumption (vo2 max) has been used as a measure of physical fitness. this study aimed to determine the effect of jogging program on midwives' physical fitness. methods:in this randomized controlled trial two large he...

In this work we present a flexible tool for tumor progression, which simulates the evolutionary dynamics of cancer. Tumor progression implements a multi-type branching process where the key parameters are the fitness landscape, the mutation rate, and the average time of cell division. The fitness of a cancer cell depends on the mutations it has accumulated. The input to our tool could be any fi...

In this paper we investigate error-thresholds on dynamics fitness-landscapes. We show that there exists both lower and an upper threshold, representing limits to the copying fidelity of simple replicators. The lower bound can be expressed as a correction term to the error-threshold present on a static landscape. The upper error-threshold is a new limit that only exists on dynamic fitnesslandsca...

A comparison of three methods for saving previously calculated fitness values across generations of a genetic algorithm is made. These methods lead to significant computational performance improvements. For real world problems, the computational effort spent on evaluating the fitness function far exceeds that of the genetic operators. As the population evolves, diversity usually diminishes. Thi...

RNA viruses show the highest mutation rate in nature. It has been extensively demonstrated that, in the absence of purifying selection, RNA viruses accumulate deleterious mutations at a high rate. However, the parameters describing this accumulation are, in general, poorly understood. The present study reports evidences for fitness declines by the accumulation of deleterious mutations in the ba...

I examine the statistical properties of a NKC model of biological evolution in which species interact and compete to maximize their individual fitness. Species are modeled as adaptive walkers moving on deformable fitness landscapes. The nature of these landscapes is controlled by a small set of free parameters; by tuning them, I investigate the different phases of the model and search in partic...

This paper presents a Genetic algorithm based association rule mining in which multi fitness functions are used. Genetic algorithm is used for performing global search. This proposed algorithm generates intersecting association rules from dataset. A fitness function with parameter support is defined for generating frequent itemsets and then other parameters like confidence, lift, leverage etc a...

This paper presents a Genetic algorithm based association rule mining in which multi fitness functions are used. Genetic algorithm is used for performing global search. This proposed algorithm generates intersecting association rules from dataset. A fitness function with parameter support is defined for generating frequent itemsets and then other parameters like confidence, lift, leverage etc a...

We consider populations of agents evolving in the fitness landscape of an extended NK model with a tunable amount of neutrality. We study the statistics of the jumps in mean population fitness which occur in the ‘punctuated equilibrium’ regime and show that, for a wide range of landscapes parameters, the number of events in time t is Poisson distributed, with the time parameter replaced by the ...

This article rigorously characterizes the structure of the entire fitness space of a simple neuromechanical system consisting of a model leg in closed-loop interaction with a neural controller. Using tools from the theory of piecewise-smooth dynamical systems, we derive expressions for the location and layout of the region of high-fitness solutions in parameter space, and we show how both the b...