objectives: the aim of this study was to investigate the effects of mountaineering on health factors in elder people. methods & materials: this study was a cross-sectional study. forty three elderly men (mean age 57/7±9/3 yrs) were selected randomly fromparks of northern tehran. according to their activity and type of activity, subjects divided into three groups of mountaineer (n=15), trained (...

In this paper a genetic algorithm (GA) with dualfitness function is proposed and applied to solve the deterministic identical machine scheduling problem. The mating fitness function value was used to determine the mating for chromosomes, while the selection fitness function value was used to determine their survivals. The performance of this algorithm was tested on deterministic identical machi...

Computer network usage increased rapidly at the last decades, the intruders tried to satisfy their needs by many types of attack depending on the intruder objectives, this encourage the researchers to find more and more solutions to detect those attacks. Intrusion Detection System used to detect the attack. Genetic Algorithm used to support IDS. Fitness Function is helpful in chromosome evaluat...

Genetic and evolutionary algorithms have been increasingly applied to solve complex, large scale search problems with mixed success. Competent genetic algorithms have been proposed to solve hard problems quickly, reliably and accurately. They have rendered problems that were difficult to solve by the earlier GAs to be solvable, requiring only a subquadratic number of function evaluations. To fa...

in this paper, we present a genetic algorithm (ga) for optimization of a multi-mode resource constrained time cost trade off (mrctct) problem. the proposed ga, each activity has several operational modes and each mode identifies a possible executive time and cost of the activity. beyond earlier studies on time-cost trade-off problem, in mrctct problem, resource requirements of each execution mo...

Fitness assignment is one of the biggest challenges in evolutionary art. Interactive evolutionary computation approaches put a significant burden on the user, leading to human fatigue. On the other hand, autonomous evolutionary art systems usually fail to give the users the opportunity to express and convey their artistic goals and preferences. Our approach empowers the users by allowing them t...

An optimization procedure using empirical models as an approximation of expensive functions is presented. The model is trained on the current set of evaluated solutions and can be used to search for promising solutions. These solutions are then evaluated on the expensive function. The resulting iterative procedure is analyzed and compared on test problems and shows fast and robust convergence. ...

INTRODUCTION Driving is recognized to be a visually intensive task and accordingly there is a legal minimum standard of vision required for all motorists. The purpose of this paper is to review the current United Kingdom (UK) visual requirements for driving and discuss the evidence base behind these legal rules. The role of newer, alternative tests of visual function that may be better indicato...

In theories of evolution, fitness is the only property of the organism which determines the evolutionary dynamics. The fitness can be described as a function of the genome, but it is more directly related to the phenome. Variations in the fitness as a function of changes in either phenome or genome may sometimes be large and may sometimes be insignificant. Conventional evolutionary theory is, h...