genetic-programming

What is the most active genetic programming library? [closed]

不想你离开。 提交于 2019-11-30 09:48:57
What genetic-programming library, regardless of language, has the most active community and is the most well developed? It's hard to tell, frankly. ParadisEO seems to be very active, and is a pretty large library encompassing various metaheuristics besides GP. Note that it is a superset of the EO library. OpenBEAGLE is nice, but it hasn't been updated since 2007. Watchmaker is very good and active right now, but it only has a proof of concept implementation of GP for now. There's a plethora of libraries out there and rather hard to tell which is the best one. And it's not very hard to roll

What is the most active genetic programming library? [closed]

柔情痞子 提交于 2019-11-29 14:49:58
问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . What genetic-programming library, regardless of language, has the most active community and is the most well developed? 回答1: It's hard

Which Java library/libraries for Genetic Algorithms? [closed]

可紊 提交于 2019-11-28 19:04:41
问题 I want to implement some simple genetic algorithms in Java . So far I found only JGAP . Did somebody has some experience with that? And do you know other Java libraries for GA? I do not want to write it my own as in GA written in Java and I have to use Java, so What is the most active genetic programming library? is also not that helpful. 回答1: I wrote the Watchmaker Framework so my opinions are not unbiased. ECJ and JGAP are the two most established options and probably the most comprehensive

how to implement non uniform probability distribution?

纵饮孤独 提交于 2019-11-28 10:34:57
I am trying to implement non-uniform probability distribution in genetic algorithm. In the implementation of genetic program, I have an experiment which has 3 outcomes, where each outcome has different probabilities. Let say, probablity of one outcome is 0.85, other is 0.01 and last one is 0.14? P.S: i recently came to know that it is called non-uniform distribution of probability. I'm implementing it in Java, can anyone tell the theory behind non-uniform prob. distribution & also any Java packages implementing it. Feel free to ask me know, if u need any more information on the problem! Thanks

Genetic Programming in C# [closed]

风格不统一 提交于 2019-11-28 02:49:58
I've been looking for some good genetic programming examples for C#. Anyone knows of good online/book resources? Wonder if there is a C# library out there for Evolutionary/Genetic programming? After developing my own Genetic Programming didactic application , I found a complete Genetic Programming Framework called AForge.NET Genetics . It's a part of the Aforge.NET library . It's licensed under LGPL. MSDN had an article last year about genetic programming: Genetic Algorithms: Survival of the Fittest with Windows Forms I would recommend against actually generating assemblies unless you

What is Crossover Probability & Mutation Probability in Genetic Algorithm or Genetic Programming?

≯℡__Kan透↙ 提交于 2019-11-27 20:54:08
问题 What is Crossover Probability & Mutation Probability in Genetic Algorithm or Genetic Programming ? Could someone explain them from implementation perspective! 回答1: Mutation probability (or ratio) is basically a measure of the likeness that random elements of your chromosome will be flipped into something else. For example if your chromosome is encoded as a binary string of lenght 100 if you have 1% mutation probability it means that 1 out of your 100 bits (on average) picked at random will be

Genetic Programming in C# [closed]

不打扰是莪最后的温柔 提交于 2019-11-27 04:59:04
问题 I've been looking for some good genetic programming examples for C#. Anyone knows of good online/book resources? Wonder if there is a C# library out there for Evolutionary/Genetic programming? 回答1: After developing my own Genetic Programming didactic application, I found a complete Genetic Programming Framework called AForge.NET Genetics. It's a part of the Aforge.NET library. It's licensed under LGPL. 回答2: MSDN had an article last year about genetic programming: Genetic Algorithms: Survival

how to implement non uniform probability distribution?

感情迁移 提交于 2019-11-27 03:49:02
问题 I am trying to implement non-uniform probability distribution in genetic algorithm. In the implementation of genetic program, I have an experiment which has 3 outcomes, where each outcome has different probabilities. Let say, probablity of one outcome is 0.85, other is 0.01 and last one is 0.14? P.S: i recently came to know that it is called non-uniform distribution of probability. I'm implementing it in Java, can anyone tell the theory behind non-uniform prob. distribution & also any Java

Best Fit Scheduling Algorithm

橙三吉。 提交于 2019-11-26 20:17:26
I'm writing a scheduling program with a difficult programming problem. There are several events, each with multiple meeting times. I need to find an arrangement of meeting times such that each schedule contains any given event exactly once, using one of each event's multiple meeting times. Obviously I could use brute force, but that's rarely the best solution. I'm guessing this is a relatively basic computer science problem, which I'll learn about once I am able to start taking computer science classes. In the meantime, I'd prefer any links where I could read up on this, or even just a name I

Best Fit Scheduling Algorithm

自古美人都是妖i 提交于 2019-11-26 07:32:57
问题 I\'m writing a scheduling program with a difficult programming problem. There are several events, each with multiple meeting times. I need to find an arrangement of meeting times such that each schedule contains any given event exactly once, using one of each event\'s multiple meeting times. Obviously I could use brute force, but that\'s rarely the best solution. I\'m guessing this is a relatively basic computer science problem, which I\'ll learn about once I am able to start taking computer