標(biāo)題: Titlebook: Approximate Dynamic Programming for Dynamic Vehicle Routing; Marlin Wolf Ulmer Book 2017 Springer International Publishing AG 2017 Operati [打印本頁(yè)] 作者: 關(guān)稅 時(shí)間: 2025-3-21 18:13
書(shū)目名稱(chēng)Approximate Dynamic Programming for Dynamic Vehicle Routing影響因子(影響力)
書(shū)目名稱(chēng)Approximate Dynamic Programming for Dynamic Vehicle Routing影響因子(影響力)學(xué)科排名
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書(shū)目名稱(chēng)Approximate Dynamic Programming for Dynamic Vehicle Routing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Approximate Dynamic Programming for Dynamic Vehicle Routing被引頻次
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書(shū)目名稱(chēng)Approximate Dynamic Programming for Dynamic Vehicle Routing讀者反饋
書(shū)目名稱(chēng)Approximate Dynamic Programming for Dynamic Vehicle Routing讀者反饋學(xué)科排名
作者: 怕失去錢(qián) 時(shí)間: 2025-3-21 22:32
Modelinguting’s planning situation. We model uncertainty as .. We give a short overview on how the main drivers of uncertainty generally are modeled in the literature in Sect. .. We finally give an overview on how SDVRPs are modeled as MDPs in Sect. ..作者: Scintillations 時(shí)間: 2025-3-22 03:09
1387-666X he approximate dynamic programming (ADP) compared to conventThis book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particul作者: 有效 時(shí)間: 2025-3-22 05:18
Martin Kotula,Christian Michalakuting’s planning situation. We model uncertainty as .. We give a short overview on how the main drivers of uncertainty generally are modeled in the literature in Sect. .. We finally give an overview on how SDVRPs are modeled as MDPs in Sect. ..作者: expansive 時(shí)間: 2025-3-22 09:51 作者: Fallibility 時(shí)間: 2025-3-22 14:51
Rich Vehicle Routing: Applicationsment for planning. We focus on routing in urban environments. The main purpose of this section is to give an overview of the important entities and underlying components in RVRPs as well as the most common objectives, constraints, and main drivers of uncertainty.作者: 恃強(qiáng)凌弱的人 時(shí)間: 2025-3-22 20:19
Anticipationon is to incorporate a predictive lookahead model of future stochasticity and decision making in the solution approach. Further, we present a classification for approaches based on their degree of anticipation.作者: CAPE 時(shí)間: 2025-3-23 00:45 作者: NEG 時(shí)間: 2025-3-23 01:27 作者: 食物 時(shí)間: 2025-3-23 05:57
Computational Evaluationt.?.. In Sect.?., we compare the approaches providing non-reactive anticipation with the offline reactive anticipatory ATB. We use the findings to analyze ATB in detail in Sect.?. and to compare ATB with the online reactive anticipatory approaches in Sect.?..作者: mosque 時(shí)間: 2025-3-23 10:55 作者: crutch 時(shí)間: 2025-3-23 17:17 作者: PATHY 時(shí)間: 2025-3-23 22:03 作者: languid 時(shí)間: 2025-3-24 00:57
Wolfgang Schiller,Michael QuellIn the final chapter of this book, we provide a brief summary, depict the main managerial implications of this book, and give an outlook on potentially fruitful areas of future research.作者: 誘騙 時(shí)間: 2025-3-24 05:30 作者: 卡死偷電 時(shí)間: 2025-3-24 09:06 作者: demote 時(shí)間: 2025-3-24 12:30
SDVRP with Stochastic RequestsIn the following, we rigorously model the presented routing application. To describe dynamic decision making, we use a Markov decision process. We then give an overview on the regarding literature. We focus on the approaches’ spatial and temporal anticipation.作者: Gleason-score 時(shí)間: 2025-3-24 17:12
Conclusion and OutlookIn the final chapter of this book, we provide a brief summary, depict the main managerial implications of this book, and give an outlook on potentially fruitful areas of future research.作者: 冒號(hào) 時(shí)間: 2025-3-24 21:51
Approximate Dynamic Programming for Dynamic Vehicle Routing978-3-319-55511-9Series ISSN 1387-666X Series E-ISSN 2698-5489 作者: 生來(lái) 時(shí)間: 2025-3-25 00:44
Strategieplanung und Monitoring,g problems (RVRPs) in Sect.?. focusing on uncertainty and replanning aspects. We briefly describe logistics management (LM) in Sect.?., embed (rich) vehicle routing in context of LM’s hierarchical planning in Sect.?., and present an overview on emerging developments and challenges inducing RVRPs in Sect.?..作者: 分散 時(shí)間: 2025-3-25 06:18
https://doi.org/10.1007/978-3-658-02688-2ment for planning. We focus on routing in urban environments. The main purpose of this section is to give an overview of the important entities and underlying components in RVRPs as well as the most common objectives, constraints, and main drivers of uncertainty.作者: OREX 時(shí)間: 2025-3-25 07:57
Siegfried G?n?len,Jürgen Dierolf,Udo Krauson is to incorporate a predictive lookahead model of future stochasticity and decision making in the solution approach. Further, we present a classification for approaches based on their degree of anticipation.作者: arsenal 時(shí)間: 2025-3-25 12:03 作者: 無(wú)力更進(jìn) 時(shí)間: 2025-3-25 19:24
Nachhaltigkeitsberichterstattungain reason for replanning is given by uncertain customer requests. Therefore, we consider a .. After a short motivation, we show how the problem is modeled, present a variety of solution methods with different degree of anticipation, and compare these methods in an extensive computational study.作者: 顧客 時(shí)間: 2025-3-25 23:32
Die Prozessstufen der Risikoanalyset.?.. In Sect.?., we compare the approaches providing non-reactive anticipation with the offline reactive anticipatory ATB. We use the findings to analyze ATB in detail in Sect.?. and to compare ATB with the online reactive anticipatory approaches in Sect.?..作者: 反話 時(shí)間: 2025-3-26 03:24 作者: 緩和 時(shí)間: 2025-3-26 07:28 作者: Mhc-Molecule 時(shí)間: 2025-3-26 10:18 作者: 思想流動(dòng) 時(shí)間: 2025-3-26 14:42 作者: 結(jié)束 時(shí)間: 2025-3-26 16:58
Strategieplanung und Monitoring,g problems (RVRPs) in Sect.?. focusing on uncertainty and replanning aspects. We briefly describe logistics management (LM) in Sect.?., embed (rich) vehicle routing in context of LM’s hierarchical planning in Sect.?., and present an overview on emerging developments and challenges inducing RVRPs in 作者: 賞錢(qián) 時(shí)間: 2025-3-26 22:23 作者: Extemporize 時(shí)間: 2025-3-27 04:13
Martin Kotula,Christian Michalak We define the MDP in Sect. .. The MDP contains three (sub-)models: decision states, dynamic decision making, and stochastic transitions. To model routing applications as MDP, we have to determine the three (sub-)models. In Sect. ., we model replanning as .. In Sect. ., we model a . for a vehicle ro作者: CREST 時(shí)間: 2025-3-27 08:21
Siegfried G?n?len,Jürgen Dierolf,Udo Krauson is to incorporate a predictive lookahead model of future stochasticity and decision making in the solution approach. Further, we present a classification for approaches based on their degree of anticipation.作者: 自由職業(yè)者 時(shí)間: 2025-3-27 12:41 作者: 含鐵 時(shí)間: 2025-3-27 14:40
Nachhaltigkeitsberichterstattungain reason for replanning is given by uncertain customer requests. Therefore, we consider a .. After a short motivation, we show how the problem is modeled, present a variety of solution methods with different degree of anticipation, and compare these methods in an extensive computational study.作者: crockery 時(shí)間: 2025-3-27 19:20 作者: 催眠藥 時(shí)間: 2025-3-28 01:40
1387-666X om the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature, ?and then shows in detail how this problem can be modeled as a Markov decision pr978-3-319-85681-0978-3-319-55511-9Series ISSN 1387-666X Series E-ISSN 2698-5489 作者: 壓艙物 時(shí)間: 2025-3-28 03:00 作者: demote 時(shí)間: 2025-3-28 10:09 作者: heart-murmur 時(shí)間: 2025-3-28 10:46 作者: 大罵 時(shí)間: 2025-3-28 16:49
Rich Vehicle Routing: Applicationsment for planning. We focus on routing in urban environments. The main purpose of this section is to give an overview of the important entities and underlying components in RVRPs as well as the most common objectives, constraints, and main drivers of uncertainty.作者: FLUSH 時(shí)間: 2025-3-28 19:38 作者: heartburn 時(shí)間: 2025-3-29 00:53 作者: LUT 時(shí)間: 2025-3-29 03:15 作者: Silent-Ischemia 時(shí)間: 2025-3-29 09:01
Motivationain reason for replanning is given by uncertain customer requests. Therefore, we consider a .. After a short motivation, we show how the problem is modeled, present a variety of solution methods with different degree of anticipation, and compare these methods in an extensive computational study.作者: Condense 時(shí)間: 2025-3-29 14:07
Computational Evaluationt.?.. In Sect.?., we compare the approaches providing non-reactive anticipation with the offline reactive anticipatory ATB. We use the findings to analyze ATB in detail in Sect.?. and to compare ATB with the online reactive anticipatory approaches in Sect.?..作者: 智力高 時(shí)間: 2025-3-29 16:01
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