need you advice guys, I want to make a research about GA, but I still considering about whats the best software that I must use to process my data. please give me your reason why. thanks in advance.
If you are planning to do any research on GA, it is advisable to code your program yourself as you cannot make any modification in a commercial software. On the other hand, if you are planning to solve a problem using GA, you can use any standard software, like MATLAB. Alternatively, you can make a google search, where you will get a plenty of programs in open source.
gotcha, thank you Datta.
I am planning to do my research on GA and now I ongoing to code the program all by myself. Its hard for me to find the open source program, how sad :(
but anyway thank you.
oh, I almost forgot.. do you have any idea what is the recommended book of GA Datta?
thanks in advance.
As far my knowledge goes, it is very tough to find a standard text book on GA. Of course some good research-based books are available, such as those of D. E. Goldberg and K. Deb.
I think "Sivanandam, and Deepa (2008), “Introduction to Genetic Algorithm”, Springer Verlag publication, New Delhi, 2008" is also an good alternative to start with for a begineer.
Thanks
The best choice is MATLAB 2009b. You can use the GAOT tool box for minimizing or maximizing the objective function.
only thing is you have to be familiar with the parameters of GA
I prefer Java because of object oriented approach. Its TRUE that the familarity with GA Parameter and its tuning is must.
I recommend AI::Genetic from cpan.org. I've used this for a number of different problems like optimization of combinatorial molecular libraries
http://search.cpan.org/~aqumsieh/AI-Genetic-0.05/Genetic.pm
I have programmed GA's in Java and highly recommend it. I would have thought C/C++ would be as good as well. Once you have a set of classes/utilities, it is then quite easy to modify to perform different actions. Pros: leaves nothing to chance and 100% customizable Cons: you need to know how to program and any errors are your own
Am not sure whether this link may help .. but u can try :)
http://www.wardsystems.com/genehunter.asp
I have a free open-source version of the PIKAIA GA in Excel VBA at this link: http://www.ecy.wa.gov/programs/eap/models.html
You can write Genetic Algorithms in any language, so i choose to use MATLAB. It allows me to import data in .xls files, csv files etc. It also has powerful plotting tools built in so that you can easily visual your data.
If you do not have a license for MATLAB then i would recommend Python. It has good libraries for Genetic Algorithms and decent plotting capabilities (and could be supplemented with GNU plot or mathematica).
If you would like help writing efficient vectorized Matlab algorithms i would be happy to provide more information!
@ Grant Williams , i would like help writing efficient vectorized Matlab algorithms and will be very grateful for whatever further information you could provide
I think Matlab GA toolbox is the best. You can also write your code in python.
I highly recommend openGA.
It is very fast, free, cross-platform, templated and based on C++.
https://github.com/Arash-codedev
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