Powerful automatic differentiation in C++ and Python
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Updated
Oct 27, 2025 - C++
Powerful automatic differentiation in C++ and Python
Branch-and-price solver for the Feeder Network Design Problem
Solving a TSP with the CPLEX C++ API.
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The Floyd programming language
The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits
Bits of sweet C++ code that I use often.
A C++ framework to couple optimisation tools and simulation models
C++ Optimization-based framework for Robotic Control Applications
Toy implementation of a simple genetic algorithm framework.
3 Dimensional parametric active surface engine developed for Aerodynamic Shape and Topology parametrisation and optimisation.
Biased Random Key Genetic Algorithm header-only C++ implementation
Yaml optimiser is a library and set of command-line tools written in C++. The library helps optimise large YAML configurations using aliases (anchors), references, and merge keys (overrides).
Graph-based production flow optimizer, e.g. for factorio
A performant and flexible genetic algorithm implemented in C++20/23.
A small, efficient class for solving convex optimisation problems.
COMPAS binding for the ShapeOp library using nanobind
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