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)

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

Python interface to CUTEst

Framework for Aerostructural Design Optimization

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.

Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver.

A MODular development environment and library for OPTimization algorithms

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.

Mathematical Programming Toolbox for AMPL/GMPL

A package that makes parameter surveys easy, from laptops to supercomputers.

Python trust-region subproblem solvers for nonlinear optimization

Python package with optimization algorithms, wrappers and tools.

This repository contains the code files (Excel, python ad GAMS) of the BeWhere model.

A Python library for the Crested Porcupine Optimizer for research and optimization tasks

A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708