A Traveling Salesman Problem (TSP) solver using Simulated Annealing, integrated with Streamlit for interactive visualization.
Retargetable, instance optimized, bare-bone speed, python framework for global optimization problems
Easy-Path-finder is A Web App built using Streamlit and A* Algorithem to find the shortest path b...
Python implementation of the Archived Multi-Objective Simulated Annealing (AMOSA) optimization he...
A Python implementation of global optimization with gaussian processes.
A comprehensive solution to optimize tourism packages, prices, resources, and budgets for startup...
WIP. Simple surrogate-based optimization in Python.
Solving the Traveling Salesman Problem using Self-Organizing Maps
Detects anomalies in time series using statistical features and forecasts future values with an L...
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Evolutionary algorithm toolbox and framework with high performance for Python
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for envi...
Solving Traveling Salesman Problem with reinforcement learning...
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algo...
ScheduLumos is a web application designed to simulate and visualize various CPU scheduling algori...
Starter kit for the black box optimization challenge at Neurips 2020