Numerical simulations and experimental tests demonstrate that the hybrid multi-population genetic algorithm, integrated with the improved 2-opt and 1-opt local search strategies, exhibits superior ...

However, genetic algorithms can suffer from slow convergence, and might yield suboptimal solutions. In response to these challenges, this work presents a method to fine-tune a genetic algorithm for ...

This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into robot path ...

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and ...

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...

Amid the genetic medicines arms race, Flagship Pioneering is unveiling a new company to help biotechs fine-tune the precision of their therapies.

Sudoku Solver using backtracking search and Magic Square using Genetic Algorithm implemented in Python This repository contains implementations for two different problems: solving a Sudoku puzzle ...

An independent evaluation using methodology like the one used to test AvertD found that the algorithm gave the appearance of predicting genetic risk but was not a true measure of genetic risk ...