Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, conference scheduling and other planning problems.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

🎯 A comprehensive gradient-free optimization framework written in Python

Configurable procedural layout generator

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Vehicle Routing Problem (VRP) using Simulated Annealing (SA) with Matlab / 模拟退火

Bayesian Optimization of Combinatorial Structures

[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms

sopt:A simple python optimization library

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

A metaheuristic optimization framework

A C# Library to aid programming for meta-heuristics

An R package to detect selection in biological pathways

A repository of multiple projects and labs done in the Udacity Artificial Intelligence Nanodegree (aind).

Graph coloring problem solved with Genetic Algorithm, Tabu Search and Simulated Annealing

Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬

My projects/labs for Udacity Artificial Intelligence Nanodegree (April 2017 - present).

This is a n-queen problem solver using local search algorithms.

General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver

Machine Learning and Artificial Intelligence algorithms using client-side JavaScript, Node.js and MongoDB. Just code kata.

🌱 Genetic Algorithm, Memetic Algorithms, GRASP, Simulated Annealing, Multi start search, Reiterated Local Search, Local Search, Greedy and randomized Greedy

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658).

Coupled simulated annealing

Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics

A collection of local, global, population-based and sequential optimization techniques.

This repository contains algorithms in C++ to solve the Capacitated Vehicle Routing Problem (cvrp).

Quantum Monte Carlo methods for Ising model