Ann Arbor
stments arena to become the equivalent of nuclear warfare.
This book is intended to be an introduction to genetic algorithms and to show how they might be used to discover attractive trading strategies. It is not a textbook but is meant to be a tutorial. The trading strategies I investigate are merely intended to be provocative; hopefully they will get your wheels turning about how you might use genetic algorithms to develop your own tiffany & co outlet strategies. The results I report are intriguing, but they are certainly not offered as any getrich scheme. The use of genetic algorithms requires a certain degree of imagination, and I am convinced that some creative tiffany and co outlet person will soon use them to get rich. Hopefully it will be me or you.
My own interest tiffany jewelry outlet in genetic algorithms has evolved in a fashion somewhat analogous to the way they themselves work. In November 1987, I attended a conference in New York titled "Expert Systems in Business." Gunar Liepins, a mathematician and prominent genetic algorithm researcher, was asked to substitute for another speaker on the program chance event, not unlike the random action of a genetic algorithm. I barely understood what Gunar had to say, but I was intrigued. We spoke after his presentation, and he began to send me articles over the next few months. I proposed that we do joint research, trying to apply genetic algorithms to investment strategies. He agreed, and we continued our correspondence via electronic mail. We met again in Ann Arbor in the summer of 1988 at a conference on machine learning.
Our investmentsoriented genetic algorithm publishing efforts began in November 1988, when one of our papers, titled "Genetic Algorithms and tiffany outlet Comput
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