The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial ...

Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

[Kory] is using genetic algorithms to write computer programs, and in the process bringing us one step closer to the Singularity.

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 ...

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 ...

Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...

Zhan Cao, Jiansen Yang, Xinyu Wang, Two-Speed Transmission Gear Shift Process Analysis and Optimization Using Genetic Algorithm, SAE International Journal of Electrified Vehicles, Vol. 9, No. 1 (2020) ...