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Darwin on Wall Street: July NYC Conference Examines Evolutionary Computing in Trading and Investing.


Business Editors/High-Tech Writers

GECCO-2002

The upcoming Genetic and Evolutionary Computation evolutionary computation - Computer-based problem solving systems that use computational models of evolutionary processes as the key elements in design and implementation.  Conference (GECCO GECCO Genetic and Evolutionary Computation Conference ) in New York City New York City: see New York, city.
New York City

City (pop., 2000: 8,008,278), southeastern New York, at the mouth of the Hudson River. The largest city in the U.S.
 will present the progress of scientists who combine Darwinian evolution and computation to produce innovative solutions to complex real world problems. A portion of the conference will be devoted to the application of these ideas in finance.

GECCO-2002 will be held at the Roosevelt Hotel (45th and Madison Ave. in Manhattan) on July 9-13, with the financial applications sessions held on July 11.

David Leinweber, of the California Institute of Technology California Institute of Technology, at Pasadena, Calif.; originally for men, became coeducational in 1970; founded 1891 as Throop Polytechnic Institute; called Throop College of Technology, 1913–20.  (www.hss.caltech.edu/~djl/), is giving the financial keynote, and organized the session to follow. Leinweber, who managed over $6 billion of institutional assets using quantitative strategies said, "Evolutionary computation is a new field. Some of what we see is incredibly tantalizing tan·ta·lize  
tr.v. tan·ta·lized, tan·ta·liz·ing, tan·ta·liz·es
To excite (another) by exposing something desirable while keeping it out of reach.
. I hope that GECCO will introduce people from Wall Street to these ideas, and where people looking to apply them can get a better idea of what problems are important on greater Wall Street."

Steven Snider, GECCO financial panelist and manager of Fidelity's Disciplined Equity mutual fund (FDEQX), and other institutional quantitative portfolios totaling more than $3.5 billion, comments, "Selecting stocks quantitatively from large and noisy data sets can be a monumental task. We've found that EC techniques are a powerful tool for sifting through thousands of securities to find the most attractive stocks."

GECCO-2002 will present the latest results in the growing field of genetic and evolutionary computation. GECCO continues the tradition of bringing together the entire spectrum of research in genetic and evolutionary computation, including genetic algorithms Genetic algorithms

Search procedures based on the mechanics of natural selection and genetics. Such procedures are known also as evolution strategies, evolutionary programming, genetic programming, and evolutionary computation.
; classifier systems; genetic programming; evolvable hardware; DNA DNA: see nucleic acid.
DNA
 or deoxyribonucleic acid

One of two types of nucleic acid (the other is RNA); a complex organic compound found in all living cells and many viruses. It is the chemical substance of genes.
 and molecular computing; evolutionary strategies; evolutionary programming; evolutionary scheduling; artificial life, adaptive behavior, agents, and ant colony optimization The ant colony optimization algorithm (ACO), introduced by Marco Dorigo in his PhD thesis, is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. ; as well as real-world applications of all of these areas.

GECCO features three days of peer-reviewed paper presentations, twelve in-depth workshops, twenty-nine tutorials presented by recognized experts, and seven sessions devoted to the industrial applications of evolutionary computation.

For more information about GECCO-2002 visit www.isgec.org/GECCO-2002 or contact the conference chairman, Erick Cantu-Paz at cantupaz@llnl.gov or 925/424-2467.
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Publication:Business Wire
Date:Jun 25, 2002
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