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global-optimization

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SciML / Optimization.jl

Sponsor
Star 728

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

optimization julia automatic-differentiation global-optimization hacktoberfest nonlinear-optimization convex-optimization algorithmic-differentiation mixed-integer-programming scientific-machine-learning derivative-free-optimization sciml local-optimization
  • Updated Nov 19, 2024
  • Julia

Evolutionary-Intelligence / pypop

Star 212

[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/random search/...). https://jmlr.org/papers/v25/23-0386.html

evolutionary-algorithms global-optimization differential-evolution genetic-algorithms black-box-optimization numerical-optimization nonlinear-optimization random-search optimization-algorithms particle-swarm-optimization evolution-strategies continuous-optimization large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization estimation-of-distribution-algorithms consensus-based-optimization
  • Updated Nov 25, 2024
  • Python
biteopt

avaneev / biteopt

Star 147

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

optimization genetic-algorithm hyperparameter-optimization evolutionary-algorithms global-optimization constraint-programming meta-heuristic optimization-methods differential-evolution optimization-tools black-box-optimization optimization-algorithms integer-programming global-optimization-algorithms stochastic-optimizers metaheuristics discrete-optimization mixed-integer-programming mathematical-programming mathematical-optimization
  • Updated Aug 21, 2024
  • C++

JuliaNonconvex / Nonconvex.jl

Star 113

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

optimization automatic-differentiation evolutionary-algorithms global-optimization black-box-optimization semidefinite-programming bayesian-optimization nonlinear-optimization nonlinear-programming metaheuristics discrete-optimization derivative-free-optimization method-of-moving-asymptotes implicit-differentiation gradient-based-optimisation augmented-lagrangian-method interior-point-optimizer surrogate-assisted-optimization mixed-integer-nonlinear-programming
  • Updated Jan 23, 2024
  • Julia

sharma-n / global_optimization

Star 53

Heuristic global optimization algorithms in Python

python evolution genetic-algorithm pathfinding hyperparameter-optimization vehicle-routing-problem global-optimization simulated-annealing ant-colony-optimization dds genetic-algorithms particle-swarm-optimization pso nsga-ii tabu-search heuristic-optimization nsga2 travelling-salesman-problem surrogate-based-optimization dynamically-dimensioned-search
  • Updated Mar 27, 2021
  • Jupyter Notebook

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