PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
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Updated
May 23, 2024 - Python
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
Portfolio optimization and back-testing.
This project clusters regencies/cities in Indonesia based on welfare indicators using the Fuzzy C-Means (FCM) algorithm and Particle Swarm Optimization (PSO).
Bayesian optimization using Gaussian Process regression (Python)
Heart Failure Management System
Machile_Learning Algorithms, Optimization...
Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the development activity and support happen over there.
Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"
💎A site, that contains systematic optimization methods and theory review
Solving the Traveling Salesman Problem with different algorithms, project repository of the Operations Research 2 course 2023/24 @ UniPD
TravelPathOptimizer for trucking logistics is a software tool that boosts efficiency by determining optimal routes through algorithms. It accounts for traffic, weather, load, and timing, dynamically adjusting for delays. This reduces costs, ensures prompt deliveries, and enhances service, boosting trucking productivity and sustainability.
Maven plugin to remove Bytecode opcodes from XMIR as much as possible
Implementación del Algoritmo Progressive Decoupling de Rockafellar para resolver problemas de optimización estocástica de dos etapas.
This software package accompanies the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms", making the guidelines in the methodology easy to apply.
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP (SQP) and IPOPT (barrier/interior-point method) in a modern and modular way, and unlocks methods never seen before. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
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