Using Genetic Algorithm to Help the Seller Strategies in Online Auction

2011 ◽  
Vol 474-476 ◽  
pp. 1760-1763
Author(s):  
Ming Jyh Tsai ◽  
Tien Yu Huang
Keyword(s):  
Genetic Algorithm ◽  
Product Information ◽  
Low Cost ◽  
Online Auction ◽  
Auction Market ◽  
Seller Reputation ◽  
Good Reputation ◽  
Good Seller ◽  
Seller Behavior ◽  
Auction Model

In e-commerce platform, the auction market is the most attractive channel for the general public. Because of low cost, making the entry barriers are low. Online sellers rely on the auction website as the platform. However, “What sellers should do to maximize the profit?” is the main purpose for this paper. This study used Apple ipod nano as an auction object on Yahoo!Auctions, and we came up with eleven factors as research variables , and tried to use genetic algorithm to build a successful auction model for sellers. In this research , if the results showed that the optimal seller behavior of chromosomes are 1,6,9,11 from the portfolio, it means that the seller need to provide product images, accept “Buy it now” , inform buyers about deliver time and maintain a good seller reputation. Therefore, the seller might be recommend to make efforts on the provision of product information, include pictures of auction goods and answer all detail questions, accept “Buy it now” , inform the buyers when sending out the goods, and maintain good reputation.

Resource Allocation in Cloud using Multi Bidding Model with User Centric Behavior Analysis

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan
Keyword(s):  
Resource Allocation ◽  
Behavior Analysis ◽  
User Behavior ◽  
Low Cost ◽  
Cloud Services ◽  
Online Auction ◽  
Analysis Model ◽  
Efficient Resource ◽  
User Centric ◽  
Cloud Resources

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.

scholarly journals Exploration of Customer Complaint Behaviors Toward Macau Low-cost Carriers

2017 ◽  
Vol 10 (9) ◽  
pp. 73 ◽  
Author(s):  
Yang Li ◽  
Grace Suk Ha Chan ◽  
Irini Lai Fun Tang
Keyword(s):  
Low Cost ◽  
Business Environment ◽  
Positive Word ◽  
Customer Feedback ◽  
Customer Complaint ◽  
Depth Interview ◽  
Low Cost Carriers ◽  
Good Reputation ◽  
Complaint Behavior ◽  
Positive Word Of Mouth

In 2015, the number of complaints against airlines in Macau increased considerably. In today’s keen competitive business environment, maintaining a good reputation and positive word-of-mouth within the industry is essential to increase competitiveness. Hence, Macau low-cost carriers should gather more customer feedback to improve their product and service quality. Macau passengers would speak to the management, their friends and family, and media and even choose boycott the companies when they feel dissatisfied with their travel experiences. The present study aimed to investigate the behavior of passengers in Macau toward low-cost carriers. A qualitative approach was adopted using a sample of 20 respondents who had previously submitted complaints to low-cost carriers. Semi-structured questions were asked in the in-depth interview. The results demonstrated the rationale behind the complaints. Perception of complaint behavior of Macau low-cost carriers’ passengers was discovered. Recommendations were proposed to provide insights for industrial practitioners.

scholarly journals Embedded genetic algorithm for low‐power, low‐cost, and low‐size‐memory devices

2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Denis R. da S. Medeiros ◽  
Matheus F. Torquato ◽  
Marcelo A. C. Fernandes
Keyword(s):  
Genetic Algorithm ◽  
Low Power ◽  
Low Cost ◽  
Memory Devices

The Design and Development of a Non-Contact Printer for Product Coding

1988 ◽  
Vol 202 (2) ◽  
pp. 87-92
Author(s):  
D King ◽  
R Luk ◽  
P Massingberd-Mundy ◽  
A Sendell ◽  
R Holmes
Keyword(s):  
Product Information ◽  
Low Cost ◽  
Target Area ◽  
Design And Development ◽  
High Quality ◽  
Cost System

This paper is concerned with the design and development of a low-cost system for applying product information to a target area on the top of a carton passing through a cartoning machine at, typically, 60 cartons a minute. A prototype was designed and built which prints high-quality preprogrammed characters on to a range of carton sizes, can be adjusted in the x, y and z planes and can be fitted to a variety of existing packaging machines.

Strategy, IT and control @ eBay, 1995-2005

2014 ◽  
Vol 11 (4) ◽  
pp. 357-379 ◽  
Author(s):  
Dan N. Stone ◽  
Alexei N. Nikitkov ◽  
Timothy C. Miller
Keyword(s):  
Information Technology ◽  
Control System ◽  
Online Community ◽  
Management Control ◽  
Consumer Trust ◽  
Online Auction ◽  
Content Type ◽  
Auction Market ◽  
Levers Of Control

Purpose – This paper aims to adapt Simons’ (1995b) theory of the role of information technology (IT) in shaping and facilitating the levers of control (i.e. the Levers of Control Applied to Information Technology – LOCaIT) as a framework for investigating how eBay’s business strategy was realized through its management control system (MCS) in the first 10 years of the online auction market. Design and method – The qualitative method uses data from public record interviews, teaching cases, books, Securities and Exchange Commission filings and other archival sources to longitudinally trace the realization of eBay’s strategy through its MCS and IT. Findings – Realizing its strategy through the eBay MCS necessitated a diagnostic control system unlike any previously seen. This system created a close-knit online community and enabled buyers and sellers to monitor one another’s performance and trustworthiness. Research limitations and implications – The LOCaIT theory facilitated understanding the core aspects of the realization of eBay’s strategy through its MCS and IT. However, LOCaIT largely omits the strong linkages evident among elements of the MCS, the importance and necessity of building a core IT infrastructure to support eBay’s strategy and the central role of building consumer trust in the realization of this strategy. Practical and social implications – eBay’s MCS is now, perhaps, the world’s most widely imitated model for creating online trust and user interactions (e.g. Yelp, TripAdvisor, Amazon). In addition, eBay’s MCS was “sold” as a consumer product that was instrumental in facilitating consumer trust in the online auction market. Originality/value – Contributions include: tracing the creation, growth and evolution of, perhaps, the world’s largest and most widely imitated MCS, which redefined the boundaries of accounting systems monitoring; and testing the range, usefulness and limitations of Simons’ LOCaIT theory as a lens for understanding eBay’s use of IT in their MCS.

Modular Design of Community-Scale Photovoltaic Reverse Osmosis Systems Under Uncertainty

2014 ◽  
Author(s):  
Amy Bilton ◽  
Steven Dubowsky
Keyword(s):  
Genetic Algorithm ◽  
Solar Radiation ◽  
Markov Model ◽  
Reverse Osmosis ◽  
Water Demand ◽  
Design Space ◽  
Modular Design ◽  
Cost Model ◽  
Low Cost ◽  
Lifetime Cost

Photovoltaic reverse osmosis (PVRO) systems can provide a viable clean water source for many remote communities. To be cost-effective, PVRO systems need to be custom-tailored for the local water demand, solar insolation, and water characteristics. Designing a custom system composed of modular components is not simple due to the large number of design choices and the variations in the sunlight and demand. This paper presents a modular design architecture, which when implemented on a low-cost PC, would enable users to configure systems from inventories of modular components. The method uses a hierarchy of filters or design rules, which can be provided in the form of an expert system, to limit the design space. The architecture then configures a system from the reduced design space using a genetic algorithm to minimize the system lifetime cost subject to system constraints. The genetic algorithm uses a detailed cost model and physics-based PVRO system model which determines the ability of the system to meet demand. Determining the ability to meet demand is challenging due to variations in water demand and solar radiation. Here, the community’s historical water demand, solar radiation history, and PVRO system physics are used in a Markov model to quantify the ability of a system to meet demand or the loss-of-water probability (LOWP). Case studies demonstrate the approach and the cost-reliability trade-off for community-scale PVRO systems. In addition, long-duration simulations are used to demonstrate the Markov model appropriately captures the uncertainty.

Sign in / Sign up

Export Citation Format

Share Document