A research toolkit for particle swarm optimization in Python
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.
Python implementation of the Method of Moving Asymptotes (MMA)
Lightweight desktop tool for Call of Duty: Modern Warfare 4. Smart FPS optimization, performance tuning, process management and real-time monitoring. Designed to improve frame rates and stability. Regularly updated.
PySensors is a Python package for sparse sensor placement
ANYstructure is the ultimate steel structure design tool for plate fields and cylinders. Weight optimization for all structures with machine learning capabilities. Calculations are based on DNV standards and rules.
Swarm-CG: Automatic Parametrization of Bonded Terms in MARTINI-based Coarse-Grained Models of Simple to Complex Molecules via Fuzzy Self-Tuning Particle Swarm Optimization
A modular development environment and library for optimization algorithms
🎯 📈 Sequential and Model-Based Optimization in Python, feat. SCE-UA, SMBO & SHGO. SOTA perf; 0 deps
Python trust-region subproblem solvers for nonlinear optimization
Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver.
An electromagnetic solver capable of simulating and optimizing 1D (thin-layer) structures via the semi-analytical transfer matrix method. For example, one can simulate and optimize broadband distributed Bragg reflectors, anti-reflection coatings, optical bandpass filters, and photovoltaic devices.
Benchmarking optimization solvers.
Modelling and solving a special case of the workforce scheduling problem using Python MIP and the COIN-OR CBC solver.
A stochastic circuit optimizer for Cadence Virtuoso, using the NSGA-II genetic algorithm.
Mathematical Programming Toolbox for AMPL/GMPL
Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
Framework for Aerostructural Design Optimization
Python package with optimization algorithms, wrappers and tools.
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