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REX/JGG Algorithm
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REX/JGG Algorithm
1.
遺伝的アルゴリズム (REX/JGG) の流れ 株式会社Gunosy ルクラ事業部 shunk (makuramoto1)
2.
最適解 𝑓(𝑥) 前提: 凸関数𝑓(𝑥)があります.緑色が濃いほど𝑓(𝑥)が小さくなります.
3.
最適解 初期動作: 𝑥の定義域内に,個体𝑥をランダムに𝑛個生成します.この𝑛 個の個体を集団𝑃とします 𝑥
4.
最適解 𝑦1 𝑦2 𝑦3 アルゴリズム1: 集団𝑃からランダムに個体𝑦をμ個,非復元抽出する.この 抽出した個体を親個体とする
5.
最適解 𝑦1 𝑦2 𝑦3 アルゴリズム2: 親個体𝑦から個体𝑥𝑖を𝜆個生成する
6.
最適解 𝑦1 𝑦2 𝑦3 𝑥𝑖 アルゴリズム2: 親個体𝑦から個体𝑥𝑖を𝜆個生成する
7.
最適解 𝑦1 𝑦2 𝑦3 𝑥𝑖 アルゴリズム3: 𝜆個生成された子個体𝑥𝑖を性能𝐶(𝑥𝑖)によって評価する.評価 が良い個体からμ個,個体を選択肢,集団𝑃に追加する.選 択されなかった子個体は集団に加えず,破棄する
8.
最適解 𝑥𝑖 アルゴリズム3: 𝜆個生成された子個体𝑥𝑖を性能𝐶(𝑥𝑖)によって評価する.評価 が良い個体からμ個,個体を選択肢,集団𝑃に追加する.選 択されなかった子個体は集団に加えず,破棄する
9.
アルゴリズム1~3を繰り返し
10.
最適解 アルゴリズム4: アルゴリズム1~3を任意の回数繰り返し,評価値 が最も良い個体を最良個体𝑥 𝑏𝑒𝑠𝑡とする