A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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Updated
Apr 4, 2024 - C++
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
This repository contains path planning algorithms in C++ for a grid based search.
MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.
MoveIt kinematics_base plugin based on particle optimization & GA
Genetic Algorithm in C++ with template metaprogramming and abstraction for constrained optimization
A Binary Genetic Traits Lexer Framework
Implementation of Elementary Algorithms (infix-prefix-postfix-evaluation-to-longest-common-increasing-sub-sequence-activity-selection-balance-kd-binary-heap-binomial-tree-breath-depth-first-search-max-flow-shortest-path-topological-sort-calculus-derivative-integration-forward-interpolation-simpson-rule-intersecting-area-non-linear-equation-jacob…
MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search for the AtomSpace (https://github.com/opencog/atomspace)
C++ Large Scale Genetic Programming
Modular Agent Based Evolution Framework
Slot machine base game evolutionary RTP optimization as parallel implementation with MPI.
Genetic algorithms applied in Computer Fluid Dynamics for multiobjective optimization - Senior Thesis in Mechanical Engineering at the University of Vermont
Genetic algorithm for Traveling salesman problem
Geometry Dash bot to play & finish levels - Now training much faster!
Nonlinear Model Predictive Control tuning using Genetic Algorithms, employed on a trajectory controller for differential drive robot
This repository contains algorithms in C++ to solve the Capacitated Vehicle Routing Problem (cvrp).
No longer maintained, actually usable implementation of NEAT
Starter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)
Derivative-Free Global Optimization Method (C++, Python binding)
OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.
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