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.
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Updated
Jun 19, 2024 - Julia
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.
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Powell's Derivative-Free Optimization solvers.
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/...). [https://pypop.rtfd.io/]
NOMAD - A blackbox optimization software
Elo ratings for global black box derivative-free optimizers
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Sampling based Model Predictive Control package for Model-Based RL research
Surrogate model library for Derivative-Free Optimization
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
Optimization software by Professor M. J. D. Powell
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
Practical shift choice for Shift-And-Invert method
This repository contains the official PyTorch implementation of the paper: "Learning Discrete Structured VAE using NES".
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method
Python library for root-finding in one dimension
Benchmarking optimization solvers.
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks
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