Genetic Algorithms for Go/Golang
$ go install git://github.com/thoj/go-galib.git
Compiling examples: $ git clone git://github.com/thoj/go-galib.git $ cd go-galib $ cd examples $ go build floating.go $ ./floating
See example/*
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This is an upgrade that, in short:
I made some assumptions about how you were using the container/vector (now deprecated), but the program still appears to run. I went ahead and upgraded the examples, too. They're in the github.com/thoj namespace so you can install directly from there and use anywhere on the system.
That's about it. I'd appreciate if you could review my update to make sure it looks clean -- I left the original code commented out.
This is not super-efficient because it creates a complete randomized genome, but it's good for my current needs and does not require to change the GAGenome interface.
Hello, I have fixed an issue with the GAMutatorMulti. The current code does not select the mutators with equal probability except in the case of 2 mutators (and the trivial case of 1 mutator).
I also cleaned up the code a bit, made it more idiomatic and added a test (which I used to test my fix).
Thanks!
When I launch examples/ordered_int.go it writes down 10 absolutely same Genomes, and all are mostly wrong ... (for example: [0 1 2 16 6 13 3 5 10 9 8 11 4 14 15 7 12] with fitness 88.00)
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05 PRINT "Index" 10 PRINT "GOBASIC!" 20 PRINT "Limitations" Arrays Line Numbers IF Statement DATA / READ Statements Builtin Functions Types 30 PRINT "
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LispEx A dialect of Lisp extended to support concurrent programming. Overview LispEx is another Lisp Interpreter implemented with Go. The syntax, sema
