查詢結果分析
來源資料
相關文獻
- 遺傳演算法在貨櫃船結構扭轉強度之離散最佳化設計之應用
- Discrete Optimization of Truss Structures Using Genetic Algorithms with Adaptation
- 以遺傳演算法作鋼桁架結構之離散最佳化設計
- 線性軸幅路網接駁系統最適整合區位、路線與排班模式之研究
- Genetic Algorithm Approach for Designing Fir Hilbert Transformers and Differentiators
- 以類神經網路與遺傳演算法解決系統可用度分派問題
- 自我調適的動態排程系統--限制排程、模糊理論和遺傳演算法的應用
- 用無母數的網路學習於臺股認購權證的定價
- 應用遺傳演算法優選大埔水庫排砂操作規線
- 手寫數字辨識模式之建立--結合遺傳演算法與類神經網路
頁籤選單縮合
題 名 | 遺傳演算法在貨櫃船結構扭轉強度之離散最佳化設計之應用=Discrete Optimization of Torsional Strength for Containership Structures by Using Genetic Algorithms |
---|---|
作 者 | 郭信川; 王鴻鈞; | 書刊名 | 中國造船暨輪機工程學刊 |
卷 期 | 18:1 1999.02[民88.02] |
頁 次 | 頁47-56 |
分類號 | 444.52 |
關鍵詞 | 離散最佳化; 遺傳演算法; 貨櫃船結構; 扭轉強度; Discrete optimization; Genetic algorithm; Containership's structure; Torsional strength; |
語 文 | 中文(Chinese) |
中文摘要 | 本文以遺傳演算法對貨櫃船結構扭轉強度作離散最佳化設計問題之處理。遺傳演 算法為隨機搜尋方法之一,利用族群策略迭代搜尋全域最佳解。每下一世代族群個體是利用 遺傳演算法內選擇、交配與突變三種基本運算子對上一世代族群個體作用而產生。文中,以 一 3494TEU 貨櫃實船當作最佳化設計測試例, 並對遺傳演算法內運算參數之不同給定值探 討對搜尋結果之影響。 |
英文摘要 | In this paper, a discrete optimization method with genetic algorithms is developed for the optimization of torsional strength of the container ship's structure. A genetic algorithm is a stochastic direct search strategy that mimics the procedure of genetic evolution. The genetic algorithm for global optimization adopts the population strategy. The population of each structural design for the present generation is produced by a genetic algorithm with the genetc operators, of selection, crossover and mutation, operate on the previous generation. A container ship with large hatch openings is taken as the numerical example in this paper. The influences of genetic parameters, such as number of maximum generations, crossover probability, mutation probability, generation gap ratio, population size, binary code for each design variable and penalty factor on the optimum design are examined, respectively. |
本系統中英文摘要資訊取自各篇刊載內容。