scholarly journals Nested Rollout Policy Adaptation for Optimizing Vehicle Selection in Complex VRPs

Author(s):  
Ashraf Abdo ◽  
Stefan Edelkamp ◽  
Michael Lawo
Keyword(s):  
2020 ◽  
pp. 1-15
Author(s):  
Tristan Cazenave ◽  
Jean-Yves Lucas ◽  
Thomas Triboulet ◽  
Hyoseok Kim

Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorithm that learns a playout policy in order to solve a single player game. In this paper we apply NRPA to the vehicle routing problem. This problem is important for large companies that have to manage a fleet of vehicles on a daily basis. Real problems are often too large to be solved exactly. The algorithm is applied to standard problem of the literature and to the specific problems of EDF (Electricité De France, the main French electric utility company). These specific problems have peculiar constraints. NRPA gives better result than the algorithm previously used by EDF.


2019 ◽  
Vol 26 (1) ◽  
pp. 704
Author(s):  
Adam Dunstan

<p>Resiliency and adaptation are increasingly prevalent in climate change policy as well as scholarship, yet scholars have brought forward several critiques of these concepts along analytical as well as political lines. Pressing questions include: who resiliency is for, what it takes to maintain it, and the scale at which it takes place. The concept of "perverse resilience", for example, proposes that resiliency for one sub-system may threaten the well-being of the overall system. In this article, I propose the related concept of "perverse adaptation", where one actor or institution's adaptation to climate change in fact produces aftershocks and secondary impacts upon other groups. Drawing on ethnographic and sociolinguistic research in northern Arizona regarding artificial snowmaking at a ski resort on a sacred mountain, I elucidate resort supporters' and others' attempts to frame snowmaking as a sustainable adaptation to drought (and, implicitly, climate change). I counterpoise these framings with narratives from local activists as well as Diné (Navajo) individuals regarding the significant impacts of snowmaking on water supply and quality, sacred lands and ceremony, public health, and, ironically, carbon emissions. In so doing, I argue that we must interrogate resilience policies for their unexpected "victims of adaptation."</p><p><strong>Key words: </strong>climate change policy, adaptation, perverse resilience, sacred sites, Diné (Navajo)</p>


Lahat Regency is a malaria-endemic region, so the research aims to develop a model of policy adaptation of society in the malaria-endemic region to Lahat Regency. This research is a qualitative study by collecting data through interviews and Focus Group Discussion (FGD), which is then processed using Expert Choice that is analyzed by the Analytical Hierarchy Process (AHP) technique. The results showed that there were 3 criteria in determining the priorities of the adaptation policy, i.e the hosts/society, agent/cause of the disease, and vector/environment. The policy Model was compiled using 3 criteria that resulted in successive policy priorities as follows: strengthening of preventive and curative malaria program of local-based (39.8%), strengthening malaria information system through community empowerment (17.4%), strengthening the commitment of central and local governments in sustainability fulfilment of program needs and coordination among related agencies (14.7%), projection of malaria transmission in space and time scale periodically and sustainably based on environmental factors (9%), malaria centre or malaria control centre (6.2%), the program of Chemoppropilaxis as an action against Plasmodium (5.8%), strengthening the capacity of health workers and laboratory personnel (4.2%), and development of the cross-sectoral intervention model (3%). 3 priorities became the main program conducted through a wide range of strategies.


2021 ◽  
Author(s):  
Andrew Collins ◽  
Anne-Marie Trevelyan ◽  
Jim Hall ◽  
Maarten van Aalst ◽  
Maria Cristina Messa ◽  
...  
Keyword(s):  

2018 ◽  
Vol 192 ◽  
pp. 02060
Author(s):  
Vuchlung Chhorn ◽  
Jaruwit Prabnasak ◽  
Chow Chompoo-Inwai

This study aims at investigation the potential impacts of a public truck terminal implementation along with truck ban policy adaptation in Khon Kaen City, Thailand. A four-step model is developed and used for examining traffic condition changes due to the terminal relocation. Three different terminal locations are set. Truck traffic of each scenario are estimated and converted to total network cost, and then compared with the base-case scenario. The most suitable truck terminal location is suggested. Also, several concerns regarding the public truck terminal and truck ban policy in the study area are given.


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