碩士 / 淡江大學 / 航空太空工程學系碩士班 / 106 / The Whale Optimization Algorithm (WOA) was applied to the optimum design of structures in this study. The WOA algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of humpback whales. There are three search methods in WOA, which are exploration phase, shrinking circle mechanism and spiral updating position. The advantages of WOA are simple concept, wide searching range and less control parameters needed. WOA can search in a random manner, so the global search can be performed efficiently with the searching techniques. This study proposes an enhanced whale optimization algorithm, which uses the different influence of the coefficient, so that the algorithm have a flexible searching space when entering the local search manner. In order to avoid the inefficiency search, a new position will be generated automatically if the current position is the current best position. This scheme can help searching the global optimum quickly and preventing the design fall into local optimum effectively.
The optimization problem can be transformed into a mathematical function. Minimum weight design will be discussed in numerical examples. The results of WOA are better than other references in the numerical examples.
| Identifer | oai:union.ndltd.org:TW/106TKU05295011 |
| Date | January 2018 |
| Creators | Fang-Hsuan Chiang, 江舫萱 |
| Contributors | Yeong-Kang Chang, 張永康 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 88 |
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