Friday, June 27, 2008

Genetic Algorithms, Grid Computing, and Visualization Techniques

In the beginning of the technological era, we used computers to more efficiently process information. Now we use computers to help us solve problems. The next phase is to have computers generate their own solutions to problems. The last frontier is to have man and computers cooperatively competing to find solutions to complex business problems.

John Koza at Genetic Programming provides an example of computers generating their own solutions (and coding) to complex problems. Koza, a professor at Stanford University, is a thought leader in this area. “Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem. Genetic programming starts from a high-level statement of ‘what needs to be done’ and automatically creates a computer program to solve the problem.” See,

In the past I have written about genetic algorithms and their practical applications in business analytics. See,;; and

If we combine the power of genetic programming, grid computing, predictive modeling, and data mining with powerful dynamic three dimensional visualization techniques used by game developers, we can have a world where complex business problems can be solved by cooperatively competing between man and machine. See, The Internet and Software-as-a-Service are going to be an integral part of that mix of ingredients as a way to lower IT costs.

The next step is akin to a chef putting together a gourmet meal by using the finest ingredients and tools of the trade. A conductor brings out the most expressive details of a classical piece while blending all the sounds of an orchestra as one exquisite experience.

If anticipation is part of journey, I can hardly wait for the sounds and tastes that will come in the next 12 months when business, technology, and science merge to produce masterpieces to help solve complex business problems. See,

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