In the context of genetic algorithms, a gene is a fundamental unit of information that represents a part of a solution to an optimization problem. Each gene can be thought of as an individual piece within a larger structure called a chromosome, which collectively encodes potential solutions. Genes can take various forms, such as binary strings, real numbers, or symbols, depending on the specific implementation of the genetic algorithm.
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