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- From: ashwin@gatech.edu (Ashwin Ram)
- Subject: Re: Use of Genetic Algorithms to evolve robot behavior?
- In-Reply-To: lains@world.std.com's message of Sat, 9 Jan 1993 00:21:25 GMT
- Message-ID: <ASHWIN.93Jan12110508@pravda.gatech.edu>
- Sender: news@cc.gatech.edu
- Reply-To: ashwin@cc.gatech.edu (Ashwin Ram)
- Organization: Georgia Institute of Technology, College of Computing
- References: <C0K8zq.54A@world.std.com>
- Date: Tue, 12 Jan 1993 16:05:07 GMT
- Lines: 25
-
- In article <C0K8zq.54A@world.std.com> lains@world.std.com (Layne L Ainsworth) writes:
- > Has anyone tried to do this:
- >
- > "Herds" of cheap (really cheap), reprogrammable robots, each loaded
- > with one set of the test "chromosome" population of a Genetic
- > Algorithm system. They could be evaluated to optimize indivdual
- > performance, or "hive" well-being. Each "generation" would be the
- > same robots, with a new generation of "chromosomes" on board.
-
- See:
-
- Mike Pearce, Ron Arkin and Ashwin Ram (1992), The Learning of Reactive
- Control Parameters Through Genetic Algorithms, in Proceedings of the IEEE/RSJ
- International Conference on Intelligent Robots and Systems (IROS-92),
- Raleigh, NC, pp. 130-137.
-
- A postscript version of this paper (without figures :-() is available for
- anonymous FTP from ftp.cc.gatech.edu:/pub/ai (see the README file or e-mail
- me for instructions).
-
- Ashwin Ram <ashwin@cc.gatech.edu>
- Assistant Professor, College of Computing
- Georgia Institute of Technology, Atlanta, Georgia 30332-0280
- (404) 853-9372 (phone)
- (404) 853-9378 (fax)
-