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朱泓勳
以改良式群體智慧演算法應用於無人戰鬥飛行載具之最佳路徑規劃
以改良式群體智慧演算法應用於無人戰鬥飛行載具之最佳路徑規劃
以改良式群體智慧演算法應用於無人戰鬥飛行載具之最佳路徑規劃
By
朱泓勳
Backend Engineer
・
Taiwan Province, Taiwan
Connect
採用三種改良型之群體智慧演算法來應用於無人戰鬥飛行載具(UCAV)之最佳路徑規劃分析上,以達成UCAV於飛行時能有效地避開敵方威脅源的偵測或攻擊並安全抵達設定的目的地執行軍事任務。此三種改良式演算法分別為動量型式粒子群體最佳化、自調式布穀鳥搜尋及排序為主的蜂群演算法。模擬分析包含具有不同威脅源的數量和分佈、飛行區域的範圍以及無人戰鬥飛行載具的起始點位置,所得到的最佳路徑將與其他演化式演算法的計算結果做比較。 https://drive.google.com/open?id=1tIcCWuLy49pDVc40xPd4FetO0fvkIfci
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朱泓勳
Connect
Published: Feb 19th 2019
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Algorithm
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