找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Parallel Problem Solving from Nature, PPSN XI; 11th International C Robert Schaefer,Carlos Cotta,Günter Rudolph Conference proceedings 2010

[復(fù)制鏈接]
查看: 11824|回復(fù): 35
樓主
發(fā)表于 2025-3-21 19:25:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI
副標(biāo)題11th International C
編輯Robert Schaefer,Carlos Cotta,Günter Rudolph
視頻videohttp://file.papertrans.cn/742/741012/741012.mp4
概述Up to date results.Fast conference proceedings.State-of-the-art report
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Parallel Problem Solving from Nature, PPSN XI; 11th International C Robert Schaefer,Carlos Cotta,Günter Rudolph Conference proceedings 2010
出版日期Conference proceedings 2010
關(guān)鍵詞algorithms; data mining; evolution; evolutionary algorithm; evolutionary computation; genetic algorithms;
版次1
doihttps://doi.org/10.1007/978-3-642-15844-5
isbn_softcover978-3-642-15843-8
isbn_ebook978-3-642-15844-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI影響因子(影響力)




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI被引頻次




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI被引頻次學(xué)科排名




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI年度引用




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI年度引用學(xué)科排名




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI讀者反饋




書(shū)目名稱(chēng)Parallel Problem Solving from Nature, PPSN XI讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:51:55 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:31:47 | 只看該作者
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB’09 benchmark results and present some initial findings.
地板
發(fā)表于 2025-3-22 06:03:08 | 只看該作者
More Effective Crossover Operators for the All-Pairs Shortest Path Problemis work, we study two variants of the algorithm. These are based on two central concepts in recombination, . and .. We show that repairing infeasible offspring leads to an improved expected optimization time of .. Furthermore, we prove that choosing parents that guarantee feasible offspring results in an optimization time of ..
5#
發(fā)表于 2025-3-22 12:17:18 | 只看該作者
6#
發(fā)表于 2025-3-22 13:14:17 | 只看該作者
Optimizing?Monotone?Functions?Can?Be?Difficult that the (1+1)?EA with overwhelming probability does not find the optimum within 2. iterations. This is the first time that we observe that a constant factor change of the mutation probability changes the run-time by more than constant factors.
7#
發(fā)表于 2025-3-22 18:42:09 | 只看該作者
8#
發(fā)表于 2025-3-22 23:36:20 | 只看該作者
Towards Analyzing Recombination Operators in Evolutionary Searchy of our approach is the . which compares two Markov chains for the first hit of the target. As an illustration, we analyze some recombination operators in evolutionary search on the LeadingOnes problem using the proposed approach. The analysis identifies some insight on the choice of recombination operators, which is then verified in experiments.
9#
發(fā)表于 2025-3-23 01:30:35 | 只看該作者
Drift Analysis with Tail Boundsns holds with high probability (and not just in expectation). Similar improvements are obtained for other classical problems in the evolutionary algorithms literature, for example computing minimum spanning trees, finding single-source shortest paths, and finding Eulerian cycles.
10#
發(fā)表于 2025-3-23 08:32:03 | 只看該作者
Süntje B?ttcher,Benjamin Doerr,Frank Neumann Leser, wie man solche Aufgaben vom ersten Ansatz bis zum Ergebnis durchrechnet. Schwerpunkt sind die im Lehrbuch "Mathematik für Ingenieure" desselben Autors angegebenen übungsaufgaben.978-3-540-69075-7Series ISSN 0937-7433 Series E-ISSN 2512-5214
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 02:50
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
胶南市| 修武县| 临泉县| 江达县| 长泰县| 桂东县| 阿鲁科尔沁旗| 罗山县| 永和县| 明光市| 安新县| 和硕县| 民勤县| 乐业县| 彰化县| 钦州市| 杭锦旗| 邹平县| 布尔津县| 龙州县| 建水县| 滨海县| 南丹县| 犍为县| 麟游县| 米泉市| 蒲城县| 台南市| 霍林郭勒市| 淳安县| 濮阳县| 锦州市| 卫辉市| 石楼县| 古丈县| 三明市| 周口市| 呼和浩特市| 襄垣县| 锡林浩特市| 黎川县|