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📄 13.txt

📁 This complete matlab for neural network
💻 TXT
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发信人: GzLi (笑梨), 信区: DataMining
标  题: gentic computation conference(2003)
发信站: 南京大学小百合站 (Sun Aug  4 15:56:00 2002), 站内信件

Subject: [COLT] CFP: Genetic and Evolutionary Computation Conference (GECCO
) on July 12-16, 2003 (Saturday-Wednesday) in Chicago

2003 Genetic and Evolutionary Computation Conference (GECCO)

A recombination of the 8th Genetic Programming Conference (GP)
and the 12th International Conference on Genetic Algorithms (ICGA)
www.isgec.org/GECCO-2003

July 12-16, 2003 (Saturday-Wednesday)
Chicago, Illinois USA

GECCO: One Conference - Many Mini-Conferences
GECCO = GP + GA + ES + EP + EH + ER + DMQ + LCS + RWA + AAAA + ...

The Genetic and Evolutionary Computation Conference (GECCO-2003) will
present the latest high-quality results in the growing field of genetic and

evolutionary computation. Topics include, but are not limited to: genetic

algorithms (GA), genetic programming (GP), evolution strategies (ES),
evolutionary programming (EP), evolvable hardware (EH), evolutionary
robotics (ER), real-world applications (RWA), learning classifier systems

(LCS), DNA, molecular, and quantum computing (DMQ), artificial life,
adaptive behavior, agents, and ant colony optimization (AAAA), genetic
scheduling and routing (GSR), evolutionary computation in industry (ECI),

search based software engineering (SBSE), Coevolution (COEV), and other
areas to be announced.

CONFERENCE CHAIR: James A. Foster
PROCEEDINGS EDITOR-IN-CHIEF: Annie S. Wu
CHAIRS OF PROGRAM POLICY COMMITTEES:
   Genetic Programming: Una-May O扲eilly
   Genetic Algorithms: Kalyanmoy Deb
   Evolution Strategies: Evolutionary Programming: Hans-Georg Beyer
   Real World Applications: Rajkumar Roy
   Learning Classifier Systems: Stewart Wilson
   Evolvable Hardware: Julian Miller
BUSINESS COMMITTEE: David E. Goldberg, John Koza
WORKSHOPS CHAIR: Alwyn Barry
LATE BREAKING PAPERS CHAIR: Bart Rylander


FREE TUTORIALS (others to be announced)
Sunday, July 13, 2003 will be filled with dozens of free tutorials from some

of the world抯 foremost experts in several topics of interest to genetic 
and
evolutionary computation researchers and practitioners.

Introductory Tutorials
  Genetic Algorithms: Robert Heckendorn
  Genetic Programming: John Koza
  Evolution Strategies: Hans-Paul Schwefel
  Learning Classifier Systems: Stewart Wilson
  Artificial Life: Mark Bedau
  Genetics: Annie S. Wu
  Immune System Computing: TBA
  Ant Colony Optimization: Martin Middendorf
  Parallel Genetic Algorithms: Erick Cant

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