This course, EE6407 - Genetic Algorithms and Machine Learning, offers an integrated view of these two complementary domains. The first half of the course delves into evolutionary algorithms —their ...

Genetic algorithms (GA) are a type of evolutionary algorithm (EA) that are inspired by the concept of natural selection in evolutionary biology. They are used in machine learning for solving ...

We propose an abstract self bounding genetic algorithm that can be applied to various problems of machine learning. The bound on the generalization error that is output by our algorithm is based on ...

Explore the ever-growing world of genetic algorithms to build and enhance AI applications involving search, optimization, machine learning, deep learning, NLP, ...

Article citations More>> Goldberg, D.E. and Holland, J.H. (1988) Genetic Algorithms and Machine Learning. Kluwer Academic Publishers, Manufactured in The Netherlands. has been cited by the following ...

Building on this theoretical evaluation, the researchers designed an efficient algorithm for machine learning with symmetric data. Mathematical combinations To do this, they borrowed ideas from ...

It uses deep learning, a form of artificial intelligence, to recognize patterns in large volumes of data. In this case, the data is the amino acid sequences of proteins called T cell receptors (TCRs).