GitHub

travelling-salesman

An optimized genetic algorithm engine for solving large-scale Travelling Salesman Problem instances with custom mutation, crossover, and hyper-parameter tuning.
Hosted on MSN

Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...
C&EN

Accelerating Prediction of Antiviral Peptides Using Genetic Algorithm-Based Weighted Multiperspective Descriptors with Self-Normalized Deep Networks

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...
GEN

Proteogenomics Algorithm Improves the Detection of Hidden Genetic Mutations

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
IEEE

Optimizing Genetic Algorithms for TSP: Evaluating Greedy Permuting Method with Diverse Selection and Crossover Techniques

Abstract: The Greedy Permuting Method (GPM) is a method introduced for initial population generation in the Genetic Algorithm (GA). For a test problem with 280 cities, the generated initial population ...
GitHub

crossover-operator

A Genetic Algorithm project for solving The Traveling Salesman Problem "TSP"using Roulette Wheel Selection, Ordered Crossover (OX) and Mutation Swap Mutation In this project, I implemented an ...
IEEE

Hybrid Genetic Algorithm for TSP

Abstract: When use simple genetic algorithm for solving the traveling salesman problem, the generated optimal solution is over stochastic and does not consider the neighborhood information in whole ...