 |
 |
 |
 |
 |
 |
||
 |
 |
 |
 |
 |
| 5 | 1/1 | 返回列表 |
| 查看: 620 | 回復(fù): 4 | |||
| 本帖產(chǎn)生 1 個(gè) ，點(diǎn)擊這里進(jìn)行查看 | |||
peng_weishi新蟲 (初入文壇)
|
[交流]
查wos
|
||
|
multi-objective particle optimization algorithm based on sharing-learning and dynamic cording distance 發(fā)自小木蟲Android客戶端 |
回復(fù)此樓» 猜你喜歡
346求調(diào)劑 一志愿070303有機(jī)化學(xué)
已經(jīng)有9人回復(fù)
-
085601 329分調(diào)劑
已經(jīng)有5人回復(fù)
-
289求調(diào)劑
已經(jīng)有4人回復(fù)
-
367求調(diào)劑
已經(jīng)有6人回復(fù)
-
271求調(diào)劑
已經(jīng)有4人回復(fù)
-
085600，321分求調(diào)劑
已經(jīng)有3人回復(fù)
-
化學(xué)工程085602 305分求調(diào)劑
已經(jīng)有35人回復(fù)
-
282求調(diào)劑 不挑專業(yè) 求收留
已經(jīng)有5人回復(fù)
-
求調(diào)劑
已經(jīng)有7人回復(fù)
-
334分 一志愿武理-080500 材料求調(diào)劑
已經(jīng)有6人回復(fù)
lzg020716
木蟲 (文學(xué)泰斗)
- 應(yīng)助: 222 (大學(xué)生)
- 金幣: 17946.3
- 散金: 108
- 紅花: 48
- 沙發(fā): 2
- 帖子: 63512
- 在線: 2558.8小時(shí)
- 蟲號(hào): 279196
- 注冊(cè): 2006-09-16
- 性別: GG
- 專業(yè): 植物生理與生化
★ ★ ★ ★ ★ ★ ★ ★ ★ ★
peng_weishi: 金幣+10, 謝謝 2016-06-02 23:58:44
sunshan4379: LS-EPI+1, 感謝應(yīng)助！ 2016-06-03 19:55:17
peng_weishi: 金幣+10, 謝謝 2016-06-02 23:58:44
sunshan4379: LS-EPI+1, 感謝應(yīng)助！ 2016-06-03 19:55:17
|
Multi-objective particle optimization algorithm based on sharing-learning and dynamic crowding distance 作者  eng, G (Peng, Guang)[ 1 ] ; Fang, YW (Fang, Yang-Wang)[ 1 ] ; Peng, WS (Peng, Wei-Shi)[ 1 ] ; Chai, D (Chai, Dong)[ 1 ] ; Xu, Y (Xu, Yang)[ 1 ]OPTIK 卷: 127 期: 12 頁: 5013-5020 DOI: 10.1016/j.ijleo.2016.02.045 出版年: 2016 查看期刊信息 摘要 A multi-objective particle swarm optimization algorithm, based on share-learning and dynamic crowding distance (MOPSO-SDCD), is proposed to improve the convergence accuracy and keep the diversity of the Pareto optimal solutions. First, the sharing-learning factor is applied to modify the velocity updating formulas, which improves both the global search ability and local search accuracy of the algorithm. Meanwhile, Gaussian mutation and greedy strategy are adopted to update personal best position and external archive, which make the algorithm approximate the Pareto front quickly and avoid premature convergence. Finally, MOPSO-SDCD maintains the external archive based on dynamic crowding distance sorting strategy, whose purpose is boosting the diversity and distribution of Pareto optimal solutions. The ZDT series test functions are used to test the performance of MOPSO-SDCD and compare with other three typical algorithms. Simulation results verify the superiority and effectiveness of the proposed algorithm. (C) 2016 Elsevier GmbH. All rights reserved. 關(guān)鍵詞 作者關(guān)鍵詞:Multi-objective optimization; Particle swarm optimization; Sharing-learning; Gaussian mutation; Dynamic crowding distance KeyWords Plus:SWARM OPTIMIZER 作者信息 通訊作者地址: Peng, G (通訊作者) Air Force Engn Univ, Aeronaut & Astronaut Engn Coll, Baling Rd 1, Xian, Peoples R China. 地址: [ 1 ] Air Force Engn Univ, Aeronaut & Astronaut Engn Coll, Baling Rd 1, Xian, Peoples R China 電子郵件地址:pg1445334307@163.com 出版商 ELSEVIER GMBH, URBAN & FISCHER VERLAG, OFFICE JENA, P O BOX 100537, 07705 JENA, GERMANY 類別 / 分類 研究方向:Optics Web of Science 類別:Optics 文獻(xiàn)信息 文獻(xiàn)類型:Article 語種:English 入藏號(hào): WOS:000374618900015 ISSN: 0030-4026 期刊信息 目錄： Current Contents Connect® Impact Factor (影響因子): Journal Citation Reports® 其他信息 IDS 號(hào): DK0RC Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 18 Web of Science 核心合集中的 "被引頻次": 0 |
2樓2016-06-01 22:09:30
peng_weishi
新蟲 (初入文壇)
- 應(yīng)助: 0 (幼兒園)
- 金幣: 1186.3
- 散金: 50
- 帖子: 48
- 在線: 24.5小時(shí)
- 蟲號(hào): 3467243
- 注冊(cè): 2014-10-11
- 性別: MM
- 專業(yè): 人工智能與知識(shí)工程
3樓2016-06-01 22:50:18
心靜_依然
版主 (知名作家)
命中※注定
- 應(yīng)助: 327 (大學(xué)生)
- 貴賓: 2.396
- 金幣: 77406.9
- 散金: 13395
- 紅花: 211
- 沙發(fā): 98
- 帖子: 8367
- 在線: 2109.5小時(shí)
- 蟲號(hào): 3472728
- 注冊(cè): 2014-10-13
- 性別: GG
- 專業(yè): 資源化工
- 管轄: 檢索知識(shí)
4樓2016-06-01 22:57:53
peng_weishi
新蟲 (初入文壇)
- 應(yīng)助: 0 (幼兒園)
- 金幣: 1186.3
- 散金: 50
- 帖子: 48
- 在線: 24.5小時(shí)
- 蟲號(hào): 3467243
- 注冊(cè): 2014-10-11
- 性別: MM
- 專業(yè): 人工智能與知識(shí)工程
5樓2016-06-01 23:28:51
相關(guān)版塊跳轉(zhuǎn)
我要訂閱樓主 peng_weishi 的主題更新
| 5 | 1/1 | 返回列表 |
| 最具人氣熱帖推薦 [查看全部] | 作者 | 回/看 | 最后發(fā)表 | |
|---|---|---|---|---|
|
[考研] 346求調(diào)劑 一志愿070303有機(jī)化學(xué) +8 | 蘿卜燉青菜 2026-03-28 | 9/450 |
|
|---|---|---|---|---|
|
[考研] 求調(diào)劑推薦 材料 304 +17 | 荷包蛋hyj 2026-03-26 | 17/850 |
|
|
|
[考研] 334求調(diào)劑 +7 | Trying] 2026-03-31 | 7/350 |
|
|
|
[論文投稿]
chinese chemical letters英文版投稿求助
 130+3
|
Yishengeryi 2026-03-30 | 3/150 |
|
|
|
[考研] 262求調(diào)劑 +7 | ZZ..000 2026-03-30 | 8/400 |
|
|
|
[考研] 085600，專業(yè)課化工原理，320分求調(diào)劑 +6 | 大饞小子 2026-03-29 | 6/300 |
|
|
|
[考研] 合肥區(qū)域性重點(diǎn)一本招收調(diào)劑 +4 | 6266jl 2026-03-30 | 4/200 |
|
|
|
[考研] 303求調(diào)劑 +7 | DLkz1314. 2026-03-30 | 7/350 |
|
|
|
[考研] 071010 323 分求調(diào)劑 +3 | Baekzhy 2026-03-27 | 3/150 |
|
|
|
[考研] 求調(diào)劑 +7 | 青春裁為三截 2026-03-29 | 7/350 |
|
|
|
[考研] 070305高分子化學(xué)與物理 304分求調(diào)劑 +12 | c297914 2026-03-28 | 12/600 |
|
|
|
[考研] 356求調(diào)劑 +4 | gysy?s?a 2026-03-28 | 4/200 |
|
|
|
[考研] 305求調(diào)劑 +8 | RuiFairyrui 2026-03-28 | 8/400 |
|
|
|
[考研] 本科新能源科學(xué)與工程，一志愿華理能動(dòng)285求調(diào)劑 +7 | AZMK 2026-03-28 | 11/550 |
|
|
|
[考研] 299求調(diào)劑 +7 | 嗯嗯嗯嗯2 2026-03-27 | 7/350 |
|
|
|
[考研] 085701環(huán)境工程，267求調(diào)劑 +16 | minht 2026-03-26 | 16/800 |
|
|
|
[考研] 一志愿南師大0703化學(xué) 275求調(diào)劑 +4 | Ripcord上岸 2026-03-27 | 4/200 |
|
|
|
[考研] 0856調(diào)劑 +5 | 求求讓我有書讀?/a> 2026-03-26 | 6/300 |
|
|
|
[考研] 0703化學(xué)338求調(diào)劑！ +6 | Zuhui0306 2026-03-26 | 7/350 |
|
|
|
[考研] 材料與化工304求B區(qū)調(diào)劑 +3 | 邱gl 2026-03-25 | 3/150 |
|