les algorithmes génétiques sont une sorte d'intelligence artificielle qui peut être définie comme "une intelligence qui se réplique (a chaque fois), ou une partie de celle-ci.
Genetic Algorithm was applied in optimization problems in its early days, which has shown significant advantages in solving complicated problems. However, it didn't strongly link to AI until some one expressed algorithms/procedures as individuals/chromosomes. ... So, a genetic algorithm, is an AI technique.
This is possible to deployed Genetic algo in AI. Its happened
Yes, and this is thanks to the concept of Genetic Algorithms. It is an algorithm that is inspired by Darwin's theory of Natural Selection to solve optimization problems. It is a good solution especially with incomplete or imperfect information, or even limited computational capacity.
There is a branch in Artificial Intelligence (AI) called "Research Theory" which defines resolution methods and AI techniques for finding algorithmic solutions polynomial to solve difficult problems (NP-complete), class complexity NP (Non Polynomial Execution Time). The objective is to improve the complexity and the quality of the algorithms proposed to solve these difficult problems by reducing them to problems of complexity class P (Polynomial execution time).
The algorithmic solution remains versatile, it is enough to model the problem and to adapt it to the context and to the studied domain.
Examples of algorithms: Simulated Annealing, Genetic Algorithms, Taboo Search, Ant Colonies ...
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