Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1039-1044

Elitism bee colony algorithm and crowdsourcing pricing model based on stakeholders’ preferences

Pu Dongping1
Fan Chongjun1
Yuan Guanghui2a,2b
Yang Yunpeng1
1. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
2. a. School of Information Management & Engineering, b. Laboratory Center, Shanghai University of Finance & Economics, Shanghai 200433, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0748

Abstract

This paper studied the pricing problem of crowdsourcing model from the perspective of participants, which included enterprises, crowdsourcing platforms and members. On the basis of considering membership credibility and task aggregation degree, it designed an allocation pricing scheme for crowdsourcing tasks with geographical factor. Guided by service cost, task value, member income, it constructed a multi objective programming model by combining different tasks, and designed the elitism bee colony algorithm for the model. In this algorithm, through the use of nectar source information and considering the improvement of bees, it significantly improved the search efficiency. Then analyzing E-commerce enterprise operation data, this paper got crowdsourcing membership characteristics, task completion rate and other basic information, and carried out the simulation experiment. Simulation results show that the task packaging pricing strategy has significant advantages in task completion rate, enterprise total cost, and the three parts total revenue. Through the model and data experiments, it can be seen that crowdsourcing has its own characteristics in pricing and publishing. For nondifferentiated services, it only needs to consider the reputation of members, for differentiated services, the task assignment needs to be packaged.

Foundation Support

国家自然科学基金资助项目(71774111)
上海市教育委员会科研创新重点基金资助项目(14ZZ131)
上海市一流学科基金资助项目(S1205YLXK)
沪江基金资助项目(A14006)
沪江基金研究基地专项项目(D14008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0748
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Algorithm Research & Explore
Pages: 1039-1044
Serial Number: 1001-3695(2019)04-018-1039-06

Publish History

[2019-04-05] Printed Article

Cite This Article

浦东平, 樊重俊, 袁光辉, 等. 精英蜂群算法及考虑利益相关者的众包定价模型 [J]. 计算机应用研究, 2019, 36 (4): 1039-1044. (Pu Dongping, Fan Chongjun, Yuan Guanghui, et al. Elitism bee colony algorithm and crowdsourcing pricing model based on stakeholders’ preferences [J]. Application Research of Computers, 2019, 36 (4): 1039-1044. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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