CarneadesDSL VS simple-genetic-algorithm

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

CarneadesDSL

An implementation and DSL for the Carneades argumentation model. (by nebasuke)
AI

simple-genetic-algorithm

Simple parallel genetic algorithm implementation in pure Haskell (by afiskon)
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CarneadesDSL simple-genetic-algorithm
- -
2 12
- -
0.0 0.0
almost 11 years ago over 7 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

CarneadesDSL

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

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

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.

What are some alternatives?

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

svm-simple - Simplified interface to bindings-svm

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

cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend

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

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InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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featured
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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Did you know that Haskell is
the 25th most popular programming language
based on number of references?