scholarly journals Genetic Hybrid Optimization of a Real Bike Sharing System

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2227
Author(s):  
Gonzalo A. Aranda-Corral ◽  
Miguel A. Rodríguez ◽  
Iñaki Fernández de Viana ◽  
María Isabel G. Arenas

In recent years there has been a growing interest in resource sharing systems as one of the possible ways to support sustainability. The use of resource pools, where people can drop a resource to be used by others in a local context, is highly dependent on the distribution of those resources on a map or graph. The optimization of these systems is an NP-Hard problem given its combinatorial nature and the inherent computational load required to simulate the use of a system. Furthermore, it is difficult to determine system overhead or unused resources without building the real system and test it in real conditions. Nevertheless, algorithms based on a candidate solution allow measuring hypothetical situations without the inconvenience of a physical implementation. In particular, this work focuses on obtaining the past usage of bike loan network infrastructures to optimize the station’s capacity distribution. Bike sharing systems are a good model for resource sharing systems since they contain common characteristics, such as capacity, distance, and temporary restrictions, which are present in most geographically distributed resources systems. To achieve this target, we propose a new approach based on evolutionary algorithms whose evaluation function will consider the cost of non-used bike places as well as the additional kilometers users would have to travel in the new distribution. To estimate its value, we will consider the geographical proximity and the trend in the areas to infer the behavior of users. This approach, which improves user satisfaction considering the past usage of the former infrastructure, as far as we know, has not been applied to this type of problem and can be generalized to other resource sharing problems with usage data.

Author(s):  
Fan Wu ◽  
Si Hong ◽  
Wei Zhao ◽  
Xiaoyan Wang ◽  
Xun Shao ◽  
...  

AbstractAccurate demand prediction of bike-sharing is an important prerequisite to reducing the cost of scheduling and improving the user satisfaction. However, it is a challenging issue due to stochasticity and non-linearity in bike-sharing systems. In this paper, a model called pseudo-double hidden layer feedforward neural networks is proposed to approximately predict actual demands of bike-sharing. Specifically, to overcome limitations in traditional back-propagation learning process, an algorithm, an extreme learning machine with improved particle swarm optimization, is designed to construct learning rules in neural networks. The performance is verified by comparing with other learning algorithms on the dataset of Streeter Dr bike-sharing station in Chicago.


2015 ◽  
Vol 77 ◽  
pp. 159-166
Author(s):  
T.O.R. Macdonald ◽  
J.S. Rowarth ◽  
F.G. Scrimgeour

The link between dairy farm systems and cost of environmental compliance is not always clear. A survey of Waikato dairy farmers was conducted to establish the real (non-modelled) cost of compliance with environmental regulation in the region. Quantitative and qualitative data were gathered to improve understanding of compliance costs and implementation issues for a range of Waikato farm systems. The average oneoff capital cost of compliance determined through a survey approach was $1.02 per kg milksolids, $1490 per hectare and $403 per cow. Costs experienced by Waikato farmers have exceeded average economic farm surplus for the region in the past 5 years. As regulation increases there are efficiencies to be gained through implementing farm infrastructure and farm management practice to best match farm system intensity. Keywords: Dairy, compliance, farm systems, nitrogen, Waikato


Author(s):  
John D. Horner ◽  
Bartosz J. Płachno ◽  
Ulrike Bauer ◽  
Bruno Di Giusto

The ability to attract prey has long been considered a universal trait of carnivorous plants. We review studies from the past 25 years that have investigated the mechanisms by which carnivorous plants attract prey to their traps. Potential attractants include nectar, visual, olfactory, and acoustic cues. Each of these has been well documented to be effective in various species, but prey attraction is not ubiquitous among carnivorous plants. Directions for future research, especially in native habitats in the field, include: the qualitative and quantitative analysis of visual cues, volatiles, and nectar; temporal changes in attractants; synergistic action of combinations of attractants; the cost of attractants; and responses to putative attractants in electroantennograms and insect behavioral tests.


2008 ◽  
Vol 46 (3) ◽  
pp. 427-450 ◽  
Author(s):  
Johan Pottier

ABSTRACTThis article examines the ethnic character of Ituri's complex emergency. It considers the local context in which the IDP predicament has unfolded, asking questions about the prospect of, and responsibilities for, post-conflict reintegration. As militia disarmament and peace are linked but not coterminous, it is argued that militant ethnic agendas at the core of the conflict must be scrutinised for their ongoing significance. Revealing the past to be a contested terrain, these agendas call for an apartheid-style solution along lines of segregation first envisaged by Belgian colonialists. To move towards ethnic reintegration, Iturians face the challenge that they must create a common history freed from the stranglehold of extremist interpretations.


1984 ◽  
Vol 4 (1) ◽  
pp. 65-77
Author(s):  
K. E. Shaw ◽  
A. King
Keyword(s):  

ILR Review ◽  
2002 ◽  
Vol 55 (4) ◽  
pp. 667-685 ◽  
Author(s):  
David Finegold ◽  
Karin Wagner

The authors present a detailed case study of the evolution of apprenticeships in German banking over the past two decades to analyze why employers continue to be willing to invest in these programs that provide workers with transferable skills. They explain employers' motivation in terms of two “logics.” Some considerations stemming from the logic of consequences, such as recruitment cost savings and enhanced workplace flexibility, encourage retention of the apprenticeship system. On balance, however, the cost calculus that is at the heart of the logic of consequences would, if unopposed, encourage head-hunting for apprentices trained by other firms, eventually undermining the system. The countervailing logic of appropriateness, however, discourages defections from the system by fostering trust among employers, encouraging new firms to participate in the system, supporting the strong reputational effect associated with training, and creating mechanisms with which banks can have a hand in keeping the system efficient.


2011 ◽  
Vol 10 (3) ◽  
pp. 149-149
Author(s):  
Amy Daniel ◽  
◽  
Alice Miller ◽  

We have been aware for a while that there are disparities in specialist skill provision both between and within deaneries – and the SAC is working hard to identify problems in this area. More recently, the issue of funding for specialist skills has been raised. It seems that some deaneries are happy and able to contribute towards the cost of training in a particular skill, while others are not; in at least one deanery, part-funding has now been withdrawn, leaving trainees to cover the entire cost of their chosen skills training. As specialist skill training is now a mandatory part of the Acute Medicine curriculum, we need to find a way to eliminate disparity both between different deaneries and between different skills. However, there is no easy solution, and for the time being, trainees will have to factor in the potential financial implications of a particular skill when they are considering their options. On a brighter note, the list of recognised specialist skills has increased over the past year. Palliative Care has been authorised as a suitable skill, and Medical Ethics and Law will soon also be added to the list. If you would like to propose a skill that is not currently listed in the Acute Medicine curriculum, you should discuss it with your training programme director, who can bring the proposal to the Acute Medicine Specialty Advisory Committee (SAC).


2021 ◽  
Author(s):  
Coen Teunissen ◽  
Isabella Voce

This report estimates the cost of pure cybercrime to individuals in Australia in 2019. A survey was administered to a sample of 11,840 adults drawn from two online panels—one using probability sampling and the other non-probability sampling—with the resulting data weighted to better reflect the distribution of the wider Australian population. Thirty-four percent of respondents had experienced some form of pure cybercrime, with 14 percent being victimised in the last 12 months. This is equivalent to nearly 6.7 million Australian adults having ever been the victim of pure cybercrime, and 2.8 million Australians being victimised in the past year. Drawing on these population estimates, the total economic impact of pure cybercrime in 2019 was approximately $3.5b. This encompasses $1.9b in money directly lost by victims, $597m spent dealing with the consequences of victimisation, and $1.4b spent on prevention costs. Victims recovered $389m.


2013 ◽  
Vol 670 ◽  
pp. 57-64
Author(s):  
D. Wu ◽  
Q.X. Hu ◽  
Y. Yao

Facing the abundant service resources, how to make the heterogeneous distributed resources information system has the meaning that can be understand between man-machine and machines, search conveniently and implement the resources integration, achieve information access and query better as well as the interoperability between systems, it is a challenge it faces which implementing the resources sharing and intelligence services, but also a problem which to improve the service informatization level for RM industries to be solved. To facility services resource sharing in Rapid Manufacturing (RM) industry, mainly discussed demand analysis and establishment principle of RM domain ontology. Based on the many years of experience and enterprise instances, domain ontology was described conceptual and expressed knowledgeable and model structure was established. The knowledge representation method is adopted based on the domain ontology query model and partial examples of service description are given. In order to solve semantic fuzziness and realize integration, interoperability and reusability of enterprise service by building domain ontology which can satisfy shared understanding of interested parties. On this basis, integrated service system architecture was designed to support resource sharing. The methods had been applied preliminarily and would provide the basis for the future work and extended field.


Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 594 ◽  
Author(s):  
Tri Nguyen ◽  
Tien-Dung Nguyen ◽  
Van Nguyen ◽  
Xuan-Qui Pham ◽  
Eui-Nam Huh

By bringing the computation and storage resources close proximity to the mobile network edge, mobile edge computing (MEC) is a key enabling technology for satisfying the Internet of Vehicles (IoV) infotainment applications’ requirements, e.g., video streaming service (VSA). However, the explosive growth of mobile video traffic brings challenges for video streaming providers (VSPs). One known issue is that a huge traffic burden on the vehicular network leads to increasing VSP costs for providing VSA to mobile users (i.e., autonomous vehicles). To address this issue, an efficient resource sharing scheme between underutilized vehicular resources is a promising solution to reduce the cost of serving VSA in the vehicular network. Therefore, we propose a new VSA model based on the lower cost of obtaining data from vehicles and then minimize the VSP’s cost. By using existing data resources from nearby vehicles, our proposal can reduce the cost of providing video service to mobile users. Specifically, we formulate our problem as mixed integer nonlinear programming (MINP) in order to calculate the total payment of the VSP. In addition, we introduce an incentive mechanism to encourage users to rent its resources. Our solution represents a strategy to optimize the VSP serving cost under the quality of service (QoS) requirements. Simulation results demonstrate that our proposed mechanism is possible to achieve up to 21% and 11% cost-savings in terms of the request arrival rate and vehicle speed, in comparison with other existing schemes, respectively.


Sign in / Sign up

Export Citation Format

Share Document