GitHub

travelling-salesman

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

Traffic Light Timing Optimization Using Genetic Algorithms in SUMO

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
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, ...
Frontiers

Establishing an algorithm for molecular genetic diagnostics in Chinese children with brachydactyly type E

Background: Brachydactyly type E (BDE) is characterized by variable shortening of metacarpals or metatarsals, often involving phalanges. It may occur as an isolated anomaly or as part of congenital ...
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 ...
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 ...