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- W4288774564 abstract "Genetic algorithm (GA) has been found to be a vital method when integrated with the AI methods and particularly for the optimization and feature selections. Since chapter 3 explored the AI and some of its common methods, this chapter aims to continue with such essential tool like (GA). GA was introduced by John Holland (1975). It uses the Darwinian's concept of survival fitness, to tackle the required problem by producing individuals that are better. This would lead to various solutions that are possible to match and compete with each other. It is basically an optimisation that is applied to complex functions. It is noteworthy to know that GA is similar to chromosomes in individuals that are represented by linear string. This chapter gives an overview of GA and its application in Artificial Intelligence (AI)." @default.
- W4288774564 created "2022-07-30" @default.
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- W4288774564 date "2022-07-25" @default.
- W4288774564 modified "2023-10-14" @default.
- W4288774564 title "Genetic Algorithm" @default.
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- W4288774564 doi "https://doi.org/10.1063/9780735423596_004" @default.
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