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To obtain the best performance from a trading system, parameters may need to be adjusted and rules juggled There is no doubt that some rule and parameter combinations define systems that trade well, just as others specify systems that trade poorly; ie, solutions differ in their quality The goodness of a solution or trading model, in terms of how well it performs when measured against some standard, is often calledjfitness The converse of fitness, the inadequacy of a solution, is frequently referred to as coot In practice, fitness is evaluated by a@ness function, a block of programming code that calculates a single number that reflects the relative desirability of any solution A fitness function can be written to appraise fitness howsoever the trader desires For example, fitness might be interpreted as net profit penalized for excessive drawdown.



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customer the appearance that they are buying private network service In a sense they are: They do have a dedicated logical facility The difference is that they share the physical facilities with many other users, which allows the service provider to offer the transport service for a lower cost Furthermore, secure protocols protect each customer s traffic from interception VPNs are illustrated in Figure 2-27 As you may have intuited by now, the degree of involvement that the Transport Layer has varies with the type of network For example, if the network consists of a single, dedicated, point-to-point circuit, then there is very little that could happen to the data during the transmission, since the data would consist of an uninterrupted, single-hop stream there are no switches along the way that could cause pieces of the message to go awry.





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A costfuncrion works in exactly the same way, but higher numbers signify worse solutions The sum of the squared errors, commonly computed when working with linear regression or neural network models, is a cost function The best possible solution to a problem can now be defined: It is that particular solution that has the greatest fitness or the least cost Optimizers endeavor to find the best possible solution to a problem by maximizing fitness, as measured by a titness function, or minimizing cost, as computed by a cost function The best possible solution to a problem may be discovered in any number of ways Sometimes problems can be solved by simple trial-and-error, especially when guided by human insight into the problem being worked Alternatively, sophisticated procedures and algorithms may be necessary.

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The Transport Layer, therefore, would have little to do to guarantee the delivery of the message However, what if the architecture of the network is not as robust as a private line circuit What if this is a packet network, in which case the message is broken into segments by the Transport Layer and these segments are independently routed through the fabric of the network Furthermore, what if there is no guarantee that all of the packets will take the same route through the network wilderness In that case, the route actually consists of a series of routes between the switches, like a string of sausage links.

workerDoWork += new DoWorkEventHandler(performLengthyOperation); CustomWorkerArgs args = new CustomWorkerArgs(); argsindex = index; argssleepTime = 25000; bwButtons[index]Content = "Cancel"; resultBoxes[index]Text = "Starting.."; workers[index] = worker; workerRunWorkerAsync(args); } } The index is retrieved via the Tag attribute, and then the corresponding worker entry in the workers array is checked This entry is set to null when BackgroundWorker completes (or errors or is cancelled), so if you find it not null, then the worker is active and working Otherwise, a new BackgroundWorker is created This is where we set WorkReportsProgress and WorkerSupportsCancellation to true Again, these properties should be set to true only when you construct the method that does work to explicitly handle the cancel condition and to report progress Next, the event handlers are registered Let s take a closer look at these DoWork is registered with the method that actually does the work.

In this situation, there is no guarantee that the components of the message will arrive in sequence; in fact, there is no guarantee that they will arrive at all! The Transport Layer, therefore, has a major responsibility to ensure that all of the message components arrive and that they carry enough additional information in the form of yet another header this time on each packet to allow them to be properly resequenced at the destination The header, for example, contains.

For example, simulating the process of evolution (as genetic optimizers do) is a very powerful way to discover or evolve high-quality solutions to complex problems In some cases, the best problem solver is an analytic (calculus-based) procedure, such as a conjugate gradient Analytic optimization is an efficient approach for problems with smooth (differentiable) fitness surfaces, such as those encountered in training neural networks, developing multiple linear regression models, or computing simple-structure factor rotations HOW OPTIMIZERS ARE USED Optimizers are wonderful tools that can be used in a myriad of ways They help shape the aircraft we fly, design the cars we drive, and even select delivery routes.

Figure 2-27 Virtual private network (VPN)

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