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Showing projects tagged as Optimisation and Optimization
9.3 6.4 HaskellMy sandbox for experimenting with solver algorithms.
8.4 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.
5.1 3.9 HaskellWrapper of nonlinear-optimization package for using with ad and backprop packages
1.8 0.0 HaskellLibraries for reading/writing MIP problem files, invoking external MIP solvers, etc. in Haskell