This repository contains the code for solving the EV charging station placement problem using simulated annealing and genetic algorithms.
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Updated
Jun 12, 2024 - Jupyter Notebook
This repository contains the code for solving the EV charging station placement problem using simulated annealing and genetic algorithms.
A series of Numerical Simulation examples using various MonteCarlo techniques like Metropolis, Genetic Algos, Simulated Annealing etc.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Statistical Machine Intelligence & Learning Engine
Generic Algorithmen for rockets which try to find their target
Research Project
This is a genetic algorithm example in which we use OpenAI gym environment and use its cartpole function. The fitness values for each generation improves though genetic algorithm. Problem statement and output graphs provided.
This project involves the analysis and comparison of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for minimizing mathematical functions and solving the Traveling Salesman Problem (TSP) using the scikit-opt library. Both GA and PSO are popular metaheuristic algorithms used for optimization problems.
Making a Class Schedule Using a Genetic Algorithm
The Mancala board game with several AI bots
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
Genetic Algorithm used for a robot to travel around a virtual world
Streamlit app to demonstrate a Genetic Algorithm to solve the Traveling Salesman Problem.
frontend for Flower Evolver website.
backend for Flower Evolver website
A simple AI in pure c++ to play the snake game
Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
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