evolutionary-algorithm

Can I always convert mutable-only algorithms to single-assignment and still be efficient?

拜拜、爱过 提交于 2019-11-28 03:33:06
问题 The Context The context of this question is that I want to play around with Gene Expression Programming (GEP), a form of evolutionary algorithm, using Erlang. GEP makes use of a string based DSL called ' Karva notation '. Karva notation is easily translated into expression parse trees, but the translation algorithm assumes an implementation having mutable objects: incomplete sub-expressions are created early-on the translation process and their own sub-expressions are filled-in later-on with

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

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

What are good examples of genetic algorithms/genetic programming solutions? [closed]

为君一笑 提交于 2019-11-27 02:20:17
Genetic algorithms (GA) and genetic programming (GP) are interesting areas of research. I'd like to know about specific problems you have solved using GA/GP and what libraries/frameworks you used if you didn't roll your own. Questions: What problems have you used GA/GP to solve? What libraries/frameworks did you use? I'm looking for first-hand experiences, so please do not answer unless you have that. Not homework. My first job as a professional programmer (1995) was writing a genetic-algorithm based automated trading system for S&P500 futures. The application was written in Visual Basic 3 [!]

Roulette Selection in Genetic Algorithms

纵然是瞬间 提交于 2019-11-26 18:28:00
Can anyone provide some pseudo code for a roulette selection function? How would I implement this: I don't really understand how to read this math notation. I never took any probability or statistics. Jarod Elliott It's been a few years since i've done this myself, however the following pseudo code was found easily enough on google. for all members of population sum += fitness of this individual end for for all members of population probability = sum of probabilities + (fitness / sum) sum of probabilities += probability end for loop until new population is full do this twice number = Random

Roulette wheel selection algorithm [duplicate]

ぃ、小莉子 提交于 2019-11-26 17:38:26
This question already has an answer here: Roulette Selection in Genetic Algorithms 13 answers Can anyone provide some pseudo code for a roulette selection function? How would I implement this: I don't really understand how to read this math notation.I want General algorithm to this. The other answers seem to be assuming that you are trying to implement a roulette game. I think that you are asking about roulette wheel selection in evolutionary algorithms. Here is some Java code that implements roulette wheel selection. Assume you have 10 items to choose from and you choose by generating a

What are good examples of genetic algorithms/genetic programming solutions? [closed]

烂漫一生 提交于 2019-11-26 10:04:09
问题 Genetic algorithms (GA) and genetic programming (GP) are interesting areas of research. I\'d like to know about specific problems you have solved using GA/GP and what libraries/frameworks you used if you didn\'t roll your own. Questions: What problems have you used GA/GP to solve? What libraries/frameworks did you use? I\'m looking for first-hand experiences, so please do not answer unless you have that. 回答1: Not homework. My first job as a professional programmer (1995) was writing a genetic

Roulette Selection in Genetic Algorithms

爱⌒轻易说出口 提交于 2019-11-26 06:25:24
问题 Can anyone provide some pseudo code for a roulette selection function? How would I implement this: I don\'t really understand how to read this math notation. I never took any probability or statistics. 回答1: It's been a few years since i've done this myself, however the following pseudo code was found easily enough on google. for all members of population sum += fitness of this individual end for for all members of population probability = sum of probabilities + (fitness / sum) sum of