找回密碼
 To register

QQ登錄

只需一步，快速開始

掃一掃，訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Genetic Programming Theory and Practice VIII; Rick Riolo,Trent McConaghy,Ekaterina Vladislavleva Book 2011 Springer Science+Business Media

[復(fù)制鏈接]
查看: 34377|回復(fù): 55
樓主
發(fā)表于 2025-3-21 19:32:32 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Genetic Programming Theory and Practice VIII
編輯Rick Riolo,Trent McConaghy,Ekaterina Vladislavleva
視頻videohttp://file.papertrans.cn/383/382604/382604.mp4
概述Presents large-scale, real-world applications of GP.Addresses a variety of problem domains that respond to GP solutions.Written by leading researchers and practitioners in the field.Includes supplemen
叢書名稱Genetic and Evolutionary Computation
圖書封面Titlebook: Genetic Programming Theory and Practice VIII; Rick Riolo,Trent McConaghy,Ekaterina Vladislavleva Book 2011 Springer Science+Business Media
描述.The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application..Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP, Abstract Expression Grammar Symbolic Regression, Age-Fitness Pareto Optimization, Scalable Symbolic Regression by Continuous Evolution, Symbolic Density Models, GP Transforms in Linear Regression Situations, Protein Interactions in a Computational Evolution System, Composition of Music and Financial Strategies via GP, and Evolutionary Art Using Summed Multi-Objective Ranks..Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results in GP ..
出版日期Book 2011
關(guān)鍵詞Genetic Programming; Genetic Programming Applications; Genetic Programming Theory; Symbolic regression;
版次1
doihttps://doi.org/10.1007/978-1-4419-7747-2
isbn_softcover978-1-4614-2719-3
isbn_ebook978-1-4419-7747-2Series ISSN 1932-0167 Series E-ISSN 1932-0175
issn_series 1932-0167
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

書目名稱Genetic Programming Theory and Practice VIII影響因子(影響力)




書目名稱Genetic Programming Theory and Practice VIII影響因子(影響力)學(xué)科排名




書目名稱Genetic Programming Theory and Practice VIII網(wǎng)絡(luò)公開度




書目名稱Genetic Programming Theory and Practice VIII網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Genetic Programming Theory and Practice VIII被引頻次




書目名稱Genetic Programming Theory and Practice VIII被引頻次學(xué)科排名




書目名稱Genetic Programming Theory and Practice VIII年度引用




書目名稱Genetic Programming Theory and Practice VIII年度引用學(xué)科排名




書目名稱Genetic Programming Theory and Practice VIII讀者反饋




書目名稱Genetic Programming Theory and Practice VIII讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics
 

0票 0.00%

Better Implies Difficulty
 

1票 100.00%

Good and Satisfactory
 

0票 0.00%

Adverse Performance
 

0票 0.00%

Disdainful Garbage
您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:59:52 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:38:43 | 只看該作者
地板
發(fā)表于 2025-3-22 04:34:54 | 只看該作者
5#
發(fā)表于 2025-3-22 10:37:46 | 只看該作者
Symbolic Density Models of One-in-a-Billion Statistical Tails via Importance Sampling and Genetic P to analyze the tradeoff between high-sigma yields and circuit performance. The flow is validated on two modern industrial problems: a bitcell circuit on a 45nm TSMC process, and a sense amp circuit on a 28nm TSMC process.
6#
發(fā)表于 2025-3-22 13:07:48 | 只看該作者
7#
發(fā)表于 2025-3-22 18:18:28 | 只看該作者
8#
發(fā)表于 2025-3-22 21:59:00 | 只看該作者
Das Aufbereiten von Textausgabenety of different problems, and see that SMCGP is able to solve tasks that require scalability and plasticity. We demonstrate how SMCGP is able to produce results that would be impossible for conventional, static Genetic Programming techniques.
9#
發(fā)表于 2025-3-23 01:50:09 | 只看該作者
Finch: A System for Evolving Java (Bytecode),eral. This is in contrast to existing work that uses restricted subsets of the Java bytecode instruction set as a representation language for individuals in genetic programming. The ability to evolve Java programs will hopefully lead to a valuable new tool in the software engineer’s toolkit.
10#
發(fā)表于 2025-3-23 06:10:52 | 只看該作者
A Survey of Self Modifying Cartesian Genetic Programming,ety of different problems, and see that SMCGP is able to solve tasks that require scalability and plasticity. We demonstrate how SMCGP is able to produce results that would be impossible for conventional, static Genetic Programming techniques.
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 12:41
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
油尖旺区| 商都县| 永善县| 青海省| 伊通| 阿图什市| 临安市| 固始县| 安阳县| 连城县| 阿尔山市| 曲阳县| 桃园县| 洛扎县| 东兴市| 寿阳县| 萝北县| 永胜县| 吴桥县| 称多县| 禹城市| 千阳县| 名山县| 南京市| 成都市| 黄骅市| 沅陵县| 紫阳县| 宜兴市| 宜黄县| 三台县| 手游| 临猗县| 莱阳市| 醴陵市| 安化县| 永城市| 萝北县| 承德市| 绥阳县| 全南县|