Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

A. Bolat, Models and a Genetic Algorithm for Static Aircraft-Gate Assignment Problem, The Journal of the Operational Research Society, Vol. 52, No. 10 (Oct., 2001), pp. 1107-1120 ...

Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine ...

In the diverse world of Artificial Intelligence (AI), Genetic Algorithms (GAs) are a search heuristic that are inspired by Charles Darwin's theory of natural evolution. This evolutionary algorithm ...

Genetic algorithms are functions that utilize processes observed in nature to produce algorithms and solutions that survive the evolutionary constrains in which the algorithm was produced.

Vinod Saini, Sanchit Singh, Shivaram NV, Himanshu Jain, Genetic Algorithm Based Gear Shift Optimization for Electric Vehicles, SAE International Journal of Alternative Powertrains, Vol. 5, No. 2 (July ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something … ...