使用遗传算法求解TSP和mTSP

Here are some programs made with Python and JavaScript (p5.js) related to artificial intelligence.

A parallel Genetic Algorithm Engine

Inverse design framework for photonic systems

Explore the world of Artificial Intelligence with these Java projects! Implement the Perceptron, DFS for puzzles, and Genetic Algorithm from scratch without ML libraries. Solve classic problems and learn AI concepts. 🤖🔍🧬

A flexible parametric FEA library based on FreeCAD using Genetic Algorithm

This is a software code for Evolutionary Deep Neural Network. Evolutionary Deep Neural Networks train neural networks using an evolutionary algorithm

유전알고리즘과 인공신경망을 활용허여 마리오 학습

This repository focuses on optimizing a trend-based trading strategy for the EURUSD currency pair. By combining PSO and GA, the goal is to maximize returns while minimizing risk. The strategy considers buy and sell signals based on Supertrend and EMA conditions, with a fixed commission of 3 pips per trade.

Using Gene Algorithm to find the maximize solution of the following problem Maximize𝑓(𝑥,𝑦)=−𝑥𝑠𝑖𝑛(4𝑥)−1.1𝑦𝑠𝑖𝑛(2𝑦)+1 8≤x≤10; 10≤y≤13; x+y≤22 Expect to get maximum 23.0063 at (x,y)=(9.039,11.802)

At The ODIN, we believe the future is going to be dominated by genetic engineering and consumer genetic design will be a big part of that. We are making that happen by creating kits and tools that allow anyone to make unique and usable organisms at home or in a lab or anywhere.

This project implements a Genetic Algorithm to solve the Traveling Salesman Problem (TSP) using Python. The Traveling Salesman Problem involves finding the shortest possible tour that visits a set of cities and returns to the starting city.

Demonstration of Genetic Algorithm with simple simulation in Python

Program learns how to shoot the target

Genetic algorithm Java library for explorers

Trading System with Genetic Programming for Feature Engineering, Multilayer Perceptron Neural Network, Logistic Regression with Elastic Net Regularization and Support Vector Machines with L1 Regularization for Predictive Models and Genetic Algorithms for Hyperparameter Optimization.

Computational Intelligence for Optimization Project @ NOVA IMS Authors: António Cymbron | Duarte Redinha | Maria João Marques Lisbon, Portugal | June 2022.

The project analyzes the N-Queens problem and defines the cost function, solution represntations as(Phenotype, Genotype) where the Genetic Algorithm is applied and experimented with different chess board dimensions (N x N)

Breaking transposition cipher using metaheuristic algorithms