- simple-genetic-algorithm-mr VS hnn
- simple-genetic-algorithm-mr VS simple-genetic-algorithm
- simple-genetic-algorithm-mr VS simple-neural-networks
- simple-genetic-algorithm-mr VS Etage
- simple-genetic-algorithm-mr VS liblinear-enumerator
- simple-genetic-algorithm-mr VS tensor-safe
- simple-genetic-algorithm-mr VS neet
- simple-genetic-algorithm-mr VS smarties
- simple-genetic-algorithm-mr VS moo
- simple-genetic-algorithm-mr VS csp
Simple-genetic-algorithm-mr Alternatives
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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 initializatio
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Stats
JPMoresmau/simple-genetic-algorithm-mr is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of simple-genetic-algorithm-mr is Haskell.