Una-May O'Reilly - Revision history

Unamay: /* Evolutionary Algorithm Software */

2007-06-21T11:31:24Z

Evolutionary Algorithm Software

← Older revision		Revision as of 11:31, 21 June 2007
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	* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].		* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].

	The two demonstrations in the lecture were defined by two .cfg files that should be executed in the EC2 directory. ~~They have~~ .~~txt extensions for~~ the ~~wiki but remove that suffix before using them~~:		The two demonstrations in the lecture were defined by two .cfg files that should be executed in the EC2 directory. I've described them below. Cut and pasted the text into a file of the appropriate name:
	* [[File:evss.cfg.txt\|evss.cfg]]		* [[File:evss.cfg.txt\|evss.cfg]]
	* [[File:evgen.cfg.txt\|evgen.cfg]]		* [[File:evgen.cfg.txt\|evgen.cfg]]

Unamay: /* Evolutionary Algorithm Software */

2007-06-21T11:28:53Z

Evolutionary Algorithm Software

← Older revision		Revision as of 11:28, 21 June 2007
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	The two demonstrations in the lecture were defined by two .cfg files that should be executed in the EC2 directory. They have .txt extensions for the wiki but remove that suffix before using them:		The two demonstrations in the lecture were defined by two .cfg files that should be executed in the EC2 directory. They have .txt extensions for the wiki but remove that suffix before using them:
	* [[~~Media~~:evss.cfg.txt\|evss.cfg]]		* [[File:evss.cfg.txt\|evss.cfg]]
	* [[~~Media~~:evgen.cfg.txt\|evgen.cfg]]		* [[File:evgen.cfg.txt\|evgen.cfg]]

	Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:		Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:

Unamay: /* Evolutionary Algorithm Software */

2007-06-21T11:28:02Z

Evolutionary Algorithm Software

← Older revision		Revision as of 11:28, 21 June 2007
Line 27:		Line 27:
	* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].		* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].

	The two demonstrations in the lecture were defined by two .cfg files:		The two demonstrations in the lecture were defined by two .cfg files that should be executed in the EC2 directory. They have .txt extensions for the wiki but remove that suffix before using them:
	* [[Media:evss.cfg\|evss.cfg]]		* [[Media:evss.cfg.txt\|evss.cfg]]
	* [[Media:evgen.cfg\|evgen.cfg]]		* [[Media:evgen.cfg.txt\|evgen.cfg]]

	Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:		Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:

Unamay: /* Evolutionary Algorithm Software */

2007-06-21T11:25:43Z

Evolutionary Algorithm Software

← Older revision		Revision as of 11:25, 21 June 2007
Line 28:		Line 28:

	The two demonstrations in the lecture were defined by two .cfg files:		The two demonstrations in the lecture were defined by two .cfg files:
			* [[Media:evss.cfg\|evss.cfg]]
			* [[Media:evgen.cfg\|evgen.cfg]]

	Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:		Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:

Unamay: /* Evolutionary Algorithm Software */

2007-06-21T11:23:32Z

Evolutionary Algorithm Software

← Older revision		Revision as of 11:23, 21 June 2007
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	* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].		* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].

			The two demonstrations in the lecture were defined by two .cfg files:

	Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:		Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:

Unamay: /* Evolutionary Algorithm Software */

2007-06-16T10:23:58Z

Evolutionary Algorithm Software

← Older revision		Revision as of 10:23, 16 June 2007
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	==Evolutionary Algorithm Software==		==Evolutionary Algorithm Software==

			* Ken De Jong at George Mason University is the source of [http://www.cs.gmu.edu/~eclab/projects/ec_courseware/ the software I demonstrate in the first lecture].

	Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:		Homework? Never! But for some people the best way to understand a genetic algorithm or any other sort of Evolutionary Algorithm is to implement or use one. I insist that my MIT students write at least one from scratch but, as a project grows, it is often more efficient not to frequently reinvent the wheel. Google or any other internet search engine suffices to find software implementations. They come in an assortment of languages, vary in age, support and popularity. Here's a sample of ones I tend to hear of being used in the community:
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	[[Image:Unamay-self-sm-may07.jpg\|thumb\|caption]]		[[Image:Unamay-self-sm-may07.jpg\|thumb\|caption]]



	== Experimental Space ==		== Experimental Space ==

Unamay: /* Background Material is posted with Lecture material [http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe-Readings here] */

2007-06-15T07:40:29Z

Background Material is posted with Lecture material [http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe-Readings here]

← Older revision		Revision as of 07:40, 15 June 2007
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	* Are there any topics or concepts in evolutionary algorithms that are burning a hole in your head that you'd like me to cover?		* Are there any topics or concepts in evolutionary algorithms that are burning a hole in your head that you'd like me to cover?

			== Answers to My [[Survey]] on CSSS-07 Participants' Knowledge of EvComp ==

	==Background Material is posted with Lecture material [http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe-Readings here] ==		==Background Material is posted with Lecture material [http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe-Readings here] ==

Unamay: /* Answers to My Survey on CSSS-07 Participants' Knowledge of EvComp */

2007-06-15T07:40:12Z

Answers to My Survey on CSSS-07 Participants' Knowledge of EvComp

← Older revision		Revision as of 07:40, 15 June 2007
Line 8:		Line 8:
	[http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe Back to CSSS Wiki Main Page]		[http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe Back to CSSS Wiki Main Page]

	~~== Answers to My [[Survey]] on CSSS-07 Participants' Knowledge of EvComp ==~~

	== What Should I Lecture On?==		== What Should I Lecture On?==

Unamay: /* What Should I Lecture On? */

2007-06-14T02:46:18Z

What Should I Lecture On?

← Older revision		Revision as of 02:46, 14 June 2007
Line 7:		Line 7:

	[http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe Back to CSSS Wiki Main Page]		[http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe Back to CSSS Wiki Main Page]

			== Answers to My [[Survey]] on CSSS-07 Participants' Knowledge of EvComp ==

	== What Should I Lecture On?==		== What Should I Lecture On?==

Unamay: /* Background Material */

2007-06-13T01:21:10Z

Background Material

← Older revision		Revision as of 01:21, 13 June 2007
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	* Are there any topics or concepts in evolutionary algorithms that are burning a hole in your head that you'd like me to cover?		* Are there any topics or concepts in evolutionary algorithms that are burning a hole in your head that you'd like me to cover?

	==Background Material==		==Background Material is posted with Lecture material [http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe-Readings here] ==
	~~Nothing here~~ is ~~a must to date. More to come later. It will be cross~~ posted [http://www.santafe.edu/events/workshops/index.php/CSSS_2007_Santa_Fe-Readings here].

	~~Just for completeness I've included two obvious classics:~~

	~~# The Origin of Species by Charles Darwin.~~
	~~# Adaptation in Natural and Artificial Systems by John R. Holland.~~

	==Evolutionary Algorithm Software==		==Evolutionary Algorithm Software==