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Showing projects tagged as Algorithms and AI
8.3 0.0 HaskellGenetic 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.
7.5 0.0 HaskellGenetic programming library
7.1 0.0 HaskellHaskell module for working with genetic algorithms
6.9 0.0 HaskellSimplified interface to bindings-svm