Glosarium AI
Kamus lengkap Kecerdasan Buatan
Natural Selection
Process of selecting the most fit individuals from a population for reproduction, based on their evaluation by a fitness function. This mechanism mimics Darwinian evolution by favoring the transmission of advantageous characteristics to future generations.
Genetic Crossover
Genetic operator combining the genetic material of two parents to create one or more offspring, promoting the exploration of new regions in the search space. Crossover allows for the recombination of good characteristics present in different parental solutions.
Genetic Mutation
Operator introducing random modifications in an individual's genotype with a low probability, ensuring the maintenance of genetic diversity in the population. Mutation helps avoid premature convergence to local optima and explores new solutions.
Tournament Selection
Selection method that chooses the best individual from a random subset of the population, offering fine control over selection pressure. This approach is computationally efficient and allows for simple adjustment of selection intensity via tournament size.
Genetic Convergence
Process by which the population gradually becomes homogeneous and concentrates around optimal solutions, which may indicate the end of the algorithm or entrapment in a local optimum. The speed and quality of convergence are key performance metrics.