An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions

Liu, Xuwang; Zhang, Zhengxuan; Qi, Wei; Wang, Dingwei

doi:10.1109/access.2020.2988777

Cited by 5 publications

(3 citation statements)

References 43 publications

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“…[21] and [34] are similar to our study; all these studies employ evolutionary game theory to analyze OFD-related problems, while the two studies focus on food quality and food waste recycling, respectively. In addition, evolutionary game theory is employed in modeling various problems, e.g., retailer competition [35], resource management [36], and bid evaluations [37], [38]. All these studies contribute to our study.…”

Section: Literature Reviewmentioning

confidence: 99%

Online Food Delivery Platforms and Restaurants’ Interactions in the Context of the Ban on Using Single-Use Plastics

Chen

Liu

et al. 2021

IEEE Access

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The boom in online food delivery(OFD) platforms brings convenience to both consumers and restaurants but leads to pollution from nonbiodegradable plastic food containers. To reduce pollution, the Chinese government enacted a ban on using multiple single-use plastics, including nondegradable OFD food containers. There may be various interests involved in enforcing the ban, so careful analysis is required before implementing the ban. This study applied evolutionary game theory to examine the interaction mechanism of the problematic behaviors between OFD platforms and restaurants. By theoretical research and simulation, we analyzed the conditions under which the game can converge to the expected outcome. In addition, we discussed the measures that are most important to promote restaurants using degradable food packaging in their service.INDEX TERMS Online food delivery, evolutionary game theory, behavior modeling, food packaging, ban on using single-use plastics.

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Section: Literature Reviewmentioning

confidence: 99%

Online Food Delivery Platforms and Restaurants’ Interactions in the Context of the Ban on Using Single-Use Plastics

Chen

Liu

et al. 2021

IEEE Access

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“…Evolutionary game theory is based on bounded rationality with groups as the research objects. It is believed that individual decision making is realized in the dynamic process of imitation, learning, and mutation [25]. Some scholars have used evolutionary games to study the related issues of the existing building green retrofitting.…”

Section: Literature Reviewmentioning

confidence: 99%

Game Analysis of the Multiagent Evolution of Existing Building Green Retrofitting from the Perspective of Green Credit

Chen

Zhang

Zhao

2021

Discrete Dynamics in Nature and Society

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Existing building green retrofitting can reduce building energy consumption and greenhouse gas emissions, which is conducive to the sustainable development of the construction industry. The financing dilemma of the existing building green retrofitting hinders the large-scale development of green retrofitting in China. This paper establishes the perceived payoff matrix and evolutionary game model of the government, Energy Service Companies (ESCOs), banks, and owners. Through simulation analysis, the primary factors affecting the choice of game strategy and the stable strategy under different conditions are discussed. The results show that the strategic choices of the government, ESCOs, banks, and owners influence each other in the two game models. Government regulations will have an impact on the strategic choices of ESCOs, banks, and owners. The owners’ strategy choice is closely related to the perceived benefits and costs of retrofitting. Based on the results, corresponding suggestions are proposed to provide theoretical support for the development of the existing building green retrofitting market.

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“…e multiattribute reverse auction can be categorized based on either the buyer's problem, the seller's problem, number of rounds of the auction, number of attributes, or the type of disclosure of the buyer's or seller's information. Some studies have focused on both the buyer and the seller side [14][15][16][17][18][19][20] while in some research [21][22][23][24][25] only the buyer's side has been taken into consideration. On the one hand, the aim of buyer's problem is generally seeking to maximize the expected scoring function [15,19,25,26], maximizing the buyer's utility [14,17,23], maximizing auction performance [18], minimizing purchase costs [20], or maximizing the probability of winner determination in the next round [22].…”

Section: Literature Reviewmentioning

confidence: 99%

A Framework for Online Reverse Auction Based on Market Maker Learning with a Risk-Averse Buyer

Tayaran

Ghazanfari

2020

Mathematical Problems in Engineering

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The online reverse auction is considered as a new e-commerce approach to purchasing and procuring goods and materials in the supply chain. With the rapid and ever-expanding development of information technology as well as the increasing usage of the Internet around the world, the use of an online reverse auction method to provide the required items by organizations has increased. Accordingly, in this paper, a new framework for the online reverse auction process is provided that takes both sides of the procurement process, namely, buyer and seller. The proposed process is a multiattribute semisealed multiround online reverse auction. The main feature of the proposed process is that an online market maker facilitates the seller’s bidding process by the estimation of the buyer’s scoring function. For this purpose, a multilayer perceptron neural network was used to estimate the scoring function. In this case, in addition to hiding the buyer’s scoring function, sellers can improve their bids using the estimated scoring function and a nonlinear multiobjective optimization model. The NSGA II algorithm has been used to solve the seller model. To evaluate the proposed model, the auction process is simulated by considering three scoring functions (additive, multiplicative, and risk-aversion) and two types of open and semisealed auctions. The simulation results show that the efficiency of the proposed model is not significantly different from the open auction, and in addition, unlike the open auction, the buyer information was not disclosed.

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An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions

Cited by 5 publications

References 43 publications

Online Food Delivery Platforms and Restaurants’ Interactions in the Context of the Ban on Using Single-Use Plastics

Online Food Delivery Platforms and Restaurants’ Interactions in the Context of the Ban on Using Single-Use Plastics

Game Analysis of the Multiagent Evolution of Existing Building Green Retrofitting from the Perspective of Green Credit

A Framework for Online Reverse Auction Based on Market Maker Learning with a Risk-Averse Buyer

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