i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm

• 主要な著者: Foo, Fong Yeng (著者), Suhaimi, Azrina (著者), Soo, Kum Yoke (著者)
• フォーマット: 図書
• 出版事項: 2020-02.
• 主題: Conference or Workshop Item; PeerReviewed
• オンライン･アクセス: Link Metadata

A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determining the optimum solution. It is common for a stopping criterion like maximum generations or fittest chromosome repetition used in GA to solve hard optimization problems. However, these stopping criteri...