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The main problem that had to be dealt with in the implementation of the algorithm is how to perform crossover and mutation without being extremely disruptive or generating a bias in the evolution of what genes are expressed Bear in mind that not only weight values, but also the neurons that conform the topology of the network are being crossed over Consequently, it is necessary to be careful about how disruptive crossover or mutation are on the information units found in the genotype If two parent chromosomes are taken at random, they will probably not have the same expressed neurons, and these are the ones that directly affect the tness of the individual when implemented in the phenotype.

Thus, we nd two types of information in the parent genotypes that must be recombined in order to produce an offspring: genes corresponding to expressed neuron units, which are responsible for tness, and genes for unexpressed neurons, about which we have little information The crossover is panmitic in the PBGA, that is, one child chromosome is created from two parent chromosomes This process implies crossing over whole neuron units To be statistically neutral regarding the expression of the genes, crossover must be performed carefully taking into account the promoter genes that control the expression of the gene sequences This crossover adheres to the following three rules: 1 If both parent units are expressed, the offspring unit is expressed and the weights are obtained applying a simple BLX-a crossover to the neuron unit s weights 2.

explanation might be in favor of the Danish translation. Three scales had KR-20 in the .90s and two fell below .70. An empirical evaluation showed that there are significant differences between several of the scales, when comparing coefficient alpha of the three different versions of the MCMI subscales. There seem to be mostly problems of keeping internal consistency of the histrionic, narcissistic, antisocial, compulsive, and passive-aggressive scales (significant differences between the original U.S. version and the Danish, as well as the Belgian) and, for the Belgian version, dependent and borderline as well. The Danish version has in addition significant higher coefficient alpha than the original U.S. version on the schizoid, hypomanic, alcohol abuse, and psychotic delusion subscales, but lower on dysthymic, psychotic thinking, and psychotic delusion subscales.

If both parent units are not expressed, the offspring unit is not expressed and the weights are directly inherited from one of the parents (50% chance) 3 When one unit is expressed and the other is not, there is a 50% chance of the offspring unit being expressed and the weights are inherited from the corresponding parent Thus, on average, the number of expressed units is preserved and a bias in this term prevented In addition, the strategy of preserving the disabled neuron units and performing information crossover only in cases when both neurons are active, that is, where the crossover effect can be tested, is followed Regarding mutation, things are simpler, and the only consideration that needs to be made is that gene promoters must be mutated at a different rate from that of regular genes..

On the other hand, TDMA allows the transponder s TWT to operate at full power because only one earth-station carrier is providing input to the satellite transponder at any one instant. To summarize, consider the following advantages and disadvantages of FDMA and TDMA. The major advantages of FDMA are as follows:

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The airline industry instituted the rst use of yield management after deregulation in the late 1970s.1 The airlines blocked out certain time periods when seats on ights were priced

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very broad (Parker, 1995; Plomin & Rutter, 1998; Quaid, Dinwiddie, Conneally, & Nurnberger, 1996). Currently, although genetic markers for tobacco use have been identi ed, there is no clear scienti c understanding of how these markers in uence smoking initiation and tobacco dependence nor is there any understanding of the degree to which they in uence smoking behavior. Although research into the genetic bases for behavior could yield enormous bene t for those suffering from addictions, such research also creates a danger of reduction, that is, that complex multifactorial behavior could be perceived to be genetic or biological alone (Annas, 1998; Philpott, 1996). At the same time, concerted efforts at tobacco control have arrived at a multipronged approach that includes denormalization of smoking by changing social norms and tolerance for smoking by nonsmokers. Research efforts on both of these fronts are making progress toward a comprehensive and integrative understanding of tobacco dependence, in terms of biological and social factors. However, it is entirely possible that advances in both arenas may converge to have undesirable or unintended effects on the individuals with tobacco dependence, their families, their employment, and their access to health care and insurance (American Society of Human Genetics and the American College of Medical Genetics, 1995; Annas, Glantz, & Roche, 1995).