| A novel optimization algorithm: Space gravitational optimization | |
|---|---|
| 學年 | 94 |
| 學期 | 1 |
| 出版（發表）日期 | 2005-10-01 |
| 作品名稱 | A novel optimization algorithm: Space gravitational optimization |
| 作品名稱（其他語言） | |
| 著者 | 簡丞志; Chien, Cheng-chih |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Engineering Village 3, pp.2323-2328 |
| 摘要 | A new concept for the optimization of nonlinear functions is proposed. For most of the proposed evolutionary optimization algorithms, such as particle swarm optimization and ant colony optimization, they search the solution space by sharing known knowledge. The proposed algorithm is based on the Einstein's general theory of relativity, which we utilize the concept of gravitational field to search for the global optimal solution for a given problem. In this paper, detail procedure of the proposed algorithm is introduced. The proposed algorithm has been tested on an application that is known difficult with promising and exciting results. |
| 關鍵字 | Ant colony optimization;Particle swarm optimization;Three-term control;Algorithm design and analysis;Testing;Birds;Simulated annealing;Physics;Astrophysics;Design optimization |
| 語言 | en_US |
| ISSN | 1062-922X |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60880 ) |
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