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: Evolutionary Computation in Combinatorial Optimization; 17th European Confer Bin Hu,Manuel López-Ibá?ez Conference proceedings 2017 Springe

[復(fù)制鏈接]
查看: 21644|回復(fù): 54
樓主
發(fā)表于 2025-3-21 16:05:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary Computation in Combinatorial Optimization
副標(biāo)題17th European Confer
編輯Bin Hu,Manuel López-Ibá?ez
視頻videohttp://file.papertrans.cn/318/317876/317876.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Evolutionary Computation in Combinatorial Optimization; 17th European Confer Bin Hu,Manuel López-Ibá?ez Conference proceedings 2017 Springe
描述This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications..The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of academic and real-world applications. The methods include evolutionary and memetic algorithms, large neighborhood search, estimation of distribution algorithms, beam search, ant colony optimization, hyper-heuristics and matheuristics. Applications include both traditional domains, such as knapsack problem, vehicle routing, scheduling problems and SAT; and newer domains such as the traveling thief problem, location planning for car-sharing systems and spacecraft trajectory optimization. Papers also study important concepts such as pseudo-backbones, phase transitions in local optima networks, and the analysis of operators. This wide range of topics makes the EvoCOP proceedings an important source for current research trends in combinatorial opti
出版日期Conference proceedings 2017
關(guān)鍵詞combinatorial optimization; discrete space search; evolutionary algorithms; metaheuristics; particle swa
版次1
doihttps://doi.org/10.1007/978-3-319-55453-2
isbn_softcover978-3-319-55452-5
isbn_ebook978-3-319-55453-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)




書目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開度




書目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization被引頻次




書目名稱Evolutionary Computation in Combinatorial Optimization被引頻次學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization年度引用




書目名稱Evolutionary Computation in Combinatorial Optimization年度引用學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋




書目名稱Evolutionary Computation in Combinatorial Optimization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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:15:28 | 只看該作者
A Genetic Algorithm for Multi-component Optimization Problems: The Case of the Travelling Thief Pronce are not a good choice to assess algorithm performance. In recent literature, a benchmark problem called Travelling Thief Problem (TTP) was proposed to better represent real-world multi-component problems. TTP is a combination of two well-known problems: 0-1 Knapsack Problem (KP) and the Travelli
板凳
發(fā)表于 2025-3-22 02:36:15 | 只看該作者
地板
發(fā)表于 2025-3-22 06:14:42 | 只看該作者
A Memetic Algorithm to Maximise the Employee Substitutability in Personnel Shift Scheduling,ions usually operate in a stochastic environment and are confronted with unexpected events in the short term. These unexpected events affect the workability of the personnel roster and need to be resolved efficiently and effectively. To facilitate this short-term recovery, it is important to conside
5#
發(fā)表于 2025-3-22 09:07:42 | 只看該作者
6#
發(fā)表于 2025-3-22 14:42:35 | 只看該作者
7#
發(fā)表于 2025-3-22 17:52:23 | 只看該作者
8#
發(fā)表于 2025-3-23 00:05:54 | 只看該作者
9#
發(fā)表于 2025-3-23 04:17:35 | 只看該作者
LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows, of homogeneous trucks. Its main objective is to minimize the number of vehicles, and the secondary objective is to minimize the distance traveled during the service. In this paper, we propose the longest common subsequence based selective route exchange crossover (LCS-SREX), and apply this operator
10#
發(fā)表于 2025-3-23 07:55:10 | 只看該作者
 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(diǎn)評 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 10:24
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
长沙市| 锡林郭勒盟| 石家庄市| 霍林郭勒市| 营口市| 拜城县| 涿州市| 上犹县| 游戏| 房产| 吴忠市| 象州县| 诏安县| 古交市| 浦江县| 卢氏县| 密云县| 遵化市| 连江县| 珲春市| 三门县| 日土县| 天水市| 获嘉县| 定南县| 南充市| 深水埗区| 安康市| 措勤县| 望城县| 政和县| 五大连池市| 灵璧县| 陈巴尔虎旗| 行唐县| 启东市| 石景山区| 连州市| 宿州市| 简阳市| 阿拉善右旗|