Darwin and Financial Services: July NYC Conference Examines Applications of Evolutionary Computing to the Banking Industry.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 New York, state, United States New York, Middle Atlantic state of the United States. It is bordered by Vermont, Massachusetts, Connecticut, and the Atlantic Ocean (E), New Jersey and Pennsylvania (S), Lakes Erie and Ontario and the Canadian province of will include the presentation of successful applications of techniques inspired by Darwinian evolution to difficult problems in the banking industry. GECCO-2002 will be held at the Roosevelt Hotel (45th and Madison Ave. in Manhattan) on July 9-13. On July 11, Zbigniew Michalewicz, Chief Scientist of NuTech Solutions, Inc., will lead the banking applications session in which practitioners demonstrate how natural evolution can be of use in designing allocations of assets to auction sites, routing of checks and mail in distribution networks, and detection of fraud. Tony Kaus, Financial Markets Director for NuTech, describes the use of Evolutionary Computing in fraud detection: "In the 1980's there was the rules-based approach; in the 1990's neural nets neural nets - artificial neural network ; but in the 2000's it is evolutionary tools that can best detect fraud and even predict fraud through software that learns while it monitors for criminal activity. As more and more customers turn on these new systems, initial results indicate that the savings will be in the millions of dollars in avoided losses." 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 design; evolutionary routing and 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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