simple-genetic-algorithm VS heukarya

Compare simple-genetic-algorithm vs heukarya and see what are their differences.

simple-genetic-algorithm

Simple parallel genetic algorithm implementation in pure Haskell (by afiskon)

heukarya

genetic programming in haskell (by t3476)
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simple-genetic-algorithm heukarya
- -
12 17
- -
0.0 0.0
over 6 years ago about 11 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

simple-genetic-algorithm

Posts with mentions or reviews of simple-genetic-algorithm. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning simple-genetic-algorithm yet.
Tracking mentions began in Dec 2020.

heukarya

Posts with mentions or reviews of heukarya. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning heukarya yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing simple-genetic-algorithm and heukarya you can also consider the following projects:

simple-genetic-algorithm-mr - Fork of simple-genetic-algorithm using MonadRandom

hnn - haskell neural network library

moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.

csp - Constraint satisfaction problem (CSP) solvers for Haskell

genprog - Genetic programming library

simple-neural-networks - Simple parallel neural networks implementation in pure Haskell

svm - A support vector machine implemented in Haskell.

CarneadesDSL - An implementation and DSL for the Carneades argumentation model.

opencv - Haskell binding to OpenCV-3.x

GA - Haskell module for working with genetic algorithms

creatur - Framework for artificial life and other evolutionary algorithms.

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