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, 2005; Trojano & Grossi, 1995), and exhibit de cits in retaining sequentially ordered information (Montgomery, 1996) Furthermore, phonological working memory and vocabulary growth were highly correlated (S Gathercole, Willis, Emslie, & Baddeley, 1992) while working memory skills were shown to predict performance on phonemic awareness tasks in 7- and 8-year-old students (Oakhill & Kyle, 2000) Supporting the connection between auditory working memory ability, language development, and achievement, children with poor attainment on reading comprehension and vocabulary subtests on standard achievement tests at age 7 demonstrated signi cantly impaired performance on working memory assessment (S Gathercole & Pickering, 2001)..

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is not used in this application. The second argument, pt, represents the mouse s clicked point, which is the home position of the current node. Using this argument, the nodes in the graph can only be displayed in the drawing area through the function PtInRect(pt), using the following conditional test: if (CRect(TopLeft,BottomRight).PtInRect(pt)) A node is drawn only if the above test is TRUE. Besides drawing the node, the total number of nodes nv is increased by one following this action. The adjacency matrix is also updated with the creation of a new row and column whose entries are all 0s. The third event is the right-button click of the mouse for drawing the links in the graph. Basically, the link between any two nodes the graph is obtained by clicking the right button of the mouse consecutively on the two nodes. Each right-button click is detected by the message handler WM_RBUTTONDOWN, which immediately calls the function OnRButtonDown(), as follows:

This section introduces the current scienti c understanding of the natural selection process with the purpose of gaining an insight into the construction, application, and terminology of genetic algorithms Natural selection is discussed in many texts and treatises Much of the information summarized here is from Curtis (1975) and Grant (1985) Upon observing the natural world, we can make several generalizations that lead to our view of its origins and workings First, there is a tremendous diversity of organisms Second, the degree of complexity in the organisms is striking Third, many of the features of these organisms have an apparent usefulness Why is this so How did they come into being Imagine the organisms of today s world as being the results of many iterations in a grand optimization algorithm The cost function measures survivability, which we wish to maximize.

Thus the characteristics of the organisms of the natural world t into this topological landscape (Grant, 1985) The level of adaptation, the tness, denotes the elevation of the landscape The highest points correspond to the most- t conditions The environment, as well as how the different species interact, provides the constraints The process of evolution is the grand algorithm that selects which characteristics produce a species of organism t for survival The peaks of the landscape are populated by living organisms Some peaks are broad and hold a wide range of characteristics encompassing many organisms, while other peaks are very narrow and allow only very speci c characteristics This analogy can be extended to include saddles between peaks as separating different species.

Current cost (the exact terminology being current cost for modern equivalent assets ) is a completely different notion; it re ects the cost of the equipment if it were bought today Current cost can be hard to de ne since technological innovation makes older equipment obsolete New equipment would be more capable and ef cient One should take this into account and rescale cost appropriately For example, if new switches have double the capacity of installed switches then the current cost of an installed switch would be half that of a new one Using current costs for computing the depreciation of network equipment leads to lower prices than using historic costs, due to technology improvements This is a main reason they are favoured by regulators.

thus:

If we take a very parochial view and assume that intelligence and ability to alter the environment are the most important aspects of survivability, we can imagine the global maximum peak at this instance in biological time to contain humankind To begin to understand the way that this natural landscape was populated involves studying the two components of natural selection: genetics and evolution Modern biologists subscribe to what is known as the synthetic theory of natural selection a synthesis of genetics with evolution There are two main divisions of scale in this synthetic evolutionary theory: macroevolution, which involves the process of division of the organisms into major groups, and microevolution, which deals with the process within speci c populations We will deal with microevolution here and consider macroevolution to be beyond our scope First, we need a bit of background on heredity at the cellular level.

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