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Showing projects tagged as Algorithms and Optimization
9.3 8.2 HaskellMy sandbox for experimenting with solver algorithms.
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.
5.7 0.0 L1 PythonCMA-ES wrapper in Haskell
4.6 0.0 HaskellWrapper of nonlinear-optimization package for using with ad and backprop packages
2.0 0.5 HaskellLibraries for reading/writing MIP problem files, invoking external MIP solvers, etc. in Haskell
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They vary from L1 to L5 with "L5" being the highest.