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Successful user-guided optimization calls for skill, domain knowledge, or both, on the part of the person guiding the optimization process. Given adequate skill and experience, not to mention a tractable problem, user-guided optimization can be extremely efficient and dramatically faster than brute force methods. Ibe speed and efficiency derive from the addition of intelligence to the search process: Zones with a high probability of paying off can be recognized and carefully examined, while time-consuming investigations of regions unlikely to yield good results can be avoided. User-guided optimization is most appropriate when ballpark results have already been established by other means, when the problem is familiar or well understood, or when only a small number of parameters need to be manipulated. As a means of polishing an existing solution, user guided-optimization is an excellent choice. It is also useful for studying model sensitivity to changes in rules or parameter values.

n the preceding chapters, I provided tools for ensuring a lifetime of good health by supporting your body s powerfully protective detoxification systems. But putting these words into action, given our human nature, usually requires some motivation. There is nothing like a health alarm to get things moving. So let s look beyond our discussion of the wonderful health benefits of food and supplements to what happens if our detox systems don t get the support they need. Let s look at the insidious world of cancer.

points or miles based on their purchases, and these points or miles earn them rewards The best loyalty programs also include status levels Customers work hard to achieve various status levels Those who have read my previous books know how hard I worked to become Gold on American Airlines and how happy I was when I achieved this level It meant that I got to upgrade to rst or business class whenever I ew I got to go on the planes rst, with the little children and the old people I earned bonus miles I had a special 800 number just for us Gold folks, and I had Gold printed on all my boarding passes so that ight attendants and others would treat me with the appropriate respect Readers will be happy to learn that because of all these books, I continue to y all over the world.

Imagine something powerful enough to solve all the problems inherent in the creation of a human being. That something surely represents the ultimate in problem solving and optimization. What is it It is the familiar process of evolution. Genetic optimizers endeavor to harness some of that incredible problem-solving power through a crude simulation of the evolutionary process. In terms of overall performance and the variety of problems that may be solved, there is no general-purpose optimizer more powerful than a properly crafted genetic one. Genetic optimizers are Stochustic optimizers in the sense that they take advantage of random chance in their operation. It may not seem believable that tossing dice can be a great way to solve problems, but, done correctly, it can be! In addition to randomness, genetic optimizers employ selection and recombination. The clever integration of random chance, selection, and recombination is responsible for the genetic optimizer s great power. A full discussion of genetic algorithms, which are the basis for genetic optimizers, appears in Part II. Genetic optimizers have many highly desirable characteristics. One such characteristic is speed, especially when faced with combinatorial explosion. A genetic optimizer can easily be many orders of magnitude faster than a brute force optimizer when there are a multiplicity of rules, or parameters that have many possible values, to manipulate. This is because, like user-guided optimization, genetic optimization can focus on important regions of solution space while mostly ignoring blind alleys. In contrast to user-guided optimization, the benefit of a selective search is achieved without the need for human intervention. Genetic optimizers can swiftly solve complex problems, and they are also more immune than other kinds of optimizers to the effects of local maxima in the

fitness surface or, equivalently, local minima in the cost surface Analytic methods are worst in that they almost always walk right to the top of the nearest hill or bottom of the nearest valley, without regard to whether higher hills or lower valleys exist elsewhere In contrast, a good genetic optimizer often locates the globally best solution-quite an impressive feat when accomplished for cantankerous fitness surfaces, such as those associated with matrices of neural connection weights Another characteristic of genetic optimization is that it works well with fitness surfaces marked by discontinuities, flat regions, and other troublesome irregularities Genetic optimization shares this characteristic with brute force, user-guided, annealing-based, and other nonanalytic optimization methods Solutions that maximize such items as net profit, return on investment, the Sharpe Ratio, and others that define difficult, nonanalytic fitness landscapes can be found using a genetic optimizer.

I have now become Platinum for Life on American For some reason US Airways, which had joint arrangements with American for a couple of years, gave me Silver Preferred Now what is the effect on me of these loyalty programs Well, they have me hooked I never y United or Delta or any other airline if I can help it Why would I want to sit jammed into the back of the plane So the effect of a successful loyalty program is that you get as close to 100 percent of your customers patronage as the customer can get Now that s customer management So how do loyalty programs apply to you, since you are not an airline This is something that s worth thinking about Hotels and rental cars get into the act by awarding airline miles.