Genetic Algorithm: An evolutionary technique that utilises a population of bit-string (or similar) representations to explore and exploit solution spaces.

Alongside EvoGrad, the researchers detailed evolvability ES, a technique they proposed in a recent paper accepted at the Genetic and Evolutionary Computation Conference earlier this month in Prague.

GAs fall under a larger discipline called evolutionary computation, which is a subfield of artificial intelligence. The main goal of these algorithms is to search for potential solutions to a given ...

A professor recently developed an evolutionary computation approach that offers researchers the flexibility to search for models that can best explain experimental data derived from many types of ...

In recent times computational algorithms inspired by biological processes and evolution are gaining much popularity for solving science and engineering problems. These algorithms are broadly ...

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 ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

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 ...