Automatic programming of a time-optimal robot controller and an analog electrical circuit to implement the robot controller by means of genetic programming

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@InProceedings{koza:1997:aptorcaect,

• author = "John R. Koza and Forrest H {Bennett III} and Martin A. Keane and David Andre",
• title = "Automatic programming of a time-optimal robot controller and an analog electrical circuit to implement the robot controller by means of genetic programming",
• booktitle = "Proceedings of 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation",
• year = "1997",
• keywords = "genetic algorithms, genetic programming",
• pages = "340--346",
• address = "Los Alamitos, CA, USA",
• publisher = "Computer Society Press",
• URL = "http://www.genetic-programming.com/jkpdf/cira1997.pdf",
• abstract = "Genetic programming is an automatic programming technique that evolves computer programs to solve, or approximately solve, problems. This paper presents two examples in which genetic programming creates a computer program for controlling a robot so that the robot moves to a specified destination point in minimal time. In the first approach, genetic programming evolves a computer program composed of ordinary arithmetic operations and conditional operations to implement a time-optimal control strategy. In the second approach, genetic programming evolves the design of an analog electrical circuit consisting of transistors, diodes, resistors, and power supplies to implement a near-optimal control strategy.",
• notes = "IEEE CIRA-97",

}

Genetic Programming entries for John Koza Forrest Bennett Martin A Keane David Andre

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