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題 名 | A Genetic Algorithm for Tuning Reliable Fuzzy System=一遺傳演算法用於調整可靠性模糊系統 |
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作 者 | 吳坤祥; 陳進興; 李建德; | 書刊名 | 模糊系統學刊 |
卷 期 | 5:1 1999.06[民88.06] |
頁 次 | 頁23-41 |
分類號 | 448.94 |
關鍵詞 | 遺傳演算法; 環狀; 可靠度; 模糊; 機器人路徑規畫; Genetic algorithm; Ring; Reliability; Fuzzy; Robot path planning; |
語 文 | 英文(English) |
中文摘要 | 在本篇論文中,我們藉由環狀遺傳演算法及可靠度分析改進了模糊控制器的架構 。遺傳演算法提供了一可行的方法以得到整體最佳值,但仍存在某些缺點。很明顯的,當染 色體編碼的尺寸變得非常大時,花在演化性計算的時間將會超出想像。因此我們提出環狀遺 傳演算法以求降低染色體編碼數量。另外,當我們想用遺傳演算法來調整控制器時,系統並 不保證每次都能達到目標。關於此問題,我們需要定義一可靠區或適合度邊界來確認控制器 的可靠度。在此篇論文也我們加強探討了模糊控制器中可靠度分析的問題,我們用這策略解 機器人路徑規畫問題時,得到相當良好的效果。 |
英文摘要 | In this paper, we improve the organization of the fuzzy logic controller by incorporating two strategies: the Ring GA and Reliability Analysis. GA approach provides a possible way to get global optimized solution, yet it still remains some drawbacks. Obviously, when the size of the chromo some becomes very large, the expense of the evolutionary computation would be out of our expectation. Thus, wetry to reduce the encoding amount of the chromosome by Ring GA. When we use GA to tune the control ler, the system does not promise to hit thetarget or goal every time. Thus, we need to define a reliable region or fitness bound tomake sure the controller is reliable. In this paper, we enhance the reliability analysis with the original fuzzy logic controller. We use our approach to solve the robot path planning problem and get better performance than usual system. |
本系統中英文摘要資訊取自各篇刊載內容。