近年來油價高漲，溫室氣體排放過剩等等因素衝擊著全球航運業，各種環保公約如雨後春筍般冒出，讓船東們無一不正視燃油成本的問題，因此如何減少用油量成為當前首要的課題。
降低航行阻力為減少耗油量最直接的方法，一般來說， 球型艏能夠有效的降低船舶的興波阻力，而影響球型艏的參數有很多如:形狀、大小、特徵長度等等，要在這些參數中找到最適合的數值，才能設計出符合需求的球形艏。本文的核心價值為取代原本人工式的調整或是試誤法的方式，改用電腦自動化的方式來調整球型艏的線型，並以客觀的水動力性能為設計基準，設計出性能較優的球型艏。
另外在本文中我們想要建立一個簡單、易於操作的人機界面來執行整個設計過程，使其能達到優化球艏的目的，並能讓使用者對於優化前後的球型艏的尺寸、線型之改變在圖形使用者介面中一目了然，進行資料的比對和分析。本文以物件導向軟體 C#來設計人機介面(GUI)為架構並具備三大部分－船體變形、船舶水動性能計算、優化程序，其中船體變形使用的是Rhinoceros為建模工具，利用其釋出的開發者工具來進行幾何上的自動化操作，而船舶水動力性能中的阻力則是採用SHIPFLOW計算阻力還有靜水性能等參數。另外，耐海性的部分則使用三維的小板法來計算船體運動，最後設計優化程序則是採用粒子群演算法(PSO)，來達成對於目標函數的優化搜尋過程。

The core of the article is finding an objective way to modify and optimize the ship bulbous instead of using human manipulation or trial and error .We want to couple with many hydrodynamics as objectives, such as wave making resistance, seakeeping or viscous resistance for our optimization. We use Particle Swarm Optimization (PSO) as our method to find a best design. The algorithm is easy to be developed under our transformation system. We evaluate the ship resistance via famous commercial software named Shipflow and using three dimension panel methods (F3DMP) to compute the six-degree motion.
After the optimization , The test ship KVLCC2 reduces 9% wave drag in single objective case, It also gets 4% improvement of wave drag, 0.4% improvement of Heave and Pitch motion in multiple objectives case. The container has slight improvement of wave drag and seakeeping performance in both cases. However, we have tried to extend the area of transformation, and got more obvious improvements of seakeeping, wave resistance than original case.
Finally, we conclude that single objective case has more obvious improvement than multiple objectives case. Else, the change of bulb has slight influence to seakeeping. In the future, we can widen the area of transformation to achieve an ideal design.

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