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 9, 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.
Maven plugin to remove Bytecode opcodes from XMIR as much as possible
A library to test optimizers by visualizing how they descend on a your images. You can draw your own custom loss landscape and see what different optimizers do.
Various Small Projects on Various Subjects
Image-processing software for cryo-electron microscopy
Portfolio optimization and back-testing.
C++ Large Scale Genetic Programming
Sidney's Technical Blog
💎A site, that contains systematic optimization methods and theory review
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
Tools for developing nonlinear optimization solvers.
Bayesian optimization using Gaussian Process regression (Python)
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.
Simple implementation of Huffman's and Genetic Algorithms in Java in a controlled environment for educational purposes.
Final Degree Project: Optimization of Truck Logistics Web Service in collaboration with Monentia & University of Las Palmas de Gran Canaria.
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Discrete Region Representation: An implicit and explicit representation for discrete features and feature combination. Useful for fast procedural modelling of diverse landscape, and more.
A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
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