A research toolkit for particle swarm optimization in Python
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Updated
Aug 6, 2024 - Python
A research toolkit for particle swarm optimization in Python
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a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Pyomo respository provides a comprehensive library of solved models in Supply chain management
Mathematical Modeling for Optimization and Machine Learning
A collection of NVIDIA cuOpt samples and other resources
ET is a powerful application to improve performance, debloat, optimize and enhance privacy for Windows 10/11.
SQL optimizer and rewriter. - SQL 优化器、重写器(辅助 SQL 调优)。
Python implementation of the Method of Moving Asymptotes (MMA)
PySensors is a Python package for sparse sensor placement
一个专注于优化我的世界服务端性能、减少延迟、修复服务端/其他常用插件BUG、限制或禁用破坏多人游戏平衡的游戏机制的插件(A plugin that focuses on optimizing minecraft server performance, reducing server lag, fix server and popular plugin bug, limiting or disabling the game mechanism that hurt multiplayer balances.)
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250
Tools for developing nonlinear optimization solvers.
A development environment for robust and global optimization
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