Algorithm Research & Explore
|
159-164,169

Multi-objective task assignment towards heterogeneous utilities in mobile crowdsensing

Fu Yanming
Lu Shenglin
Qi Kangheng
Xu Liqiang
Chen Jiayuan
College of Computer & Electronic Information, Guangxi University, Nanning 530000, China

Abstract

Most of the existing MCS task allocation methods often only consider the unilateral utility of workers or platforms, and the composition of utility is not comprehensive enough. Therefore, this paper designed a heterogeneous utility mechanism for both workers and platforms based on the worker reputation index and task proficiency index. It proposed a dual-population competitive multi-objective evolutionary algorithm(DCMEA) to obtain the optimal worker and platform heterogeneous utilities. The algorithm firstly initialized the population using a stochastic greedy algorithm, then divided the population into a winner population and a loser population using a binary bidding tournament algorithm, and employed different evolutionary strategies for each population. Finally, this paper proposed the repair operator to make the invalid individuals in the evolution process satisfy the constraint. Experiments on real-world datasets show that DCMEA converges faster than the baseline algorithm, and can find more accurate and stable task allocation solution sets, while maintaining its performance in more complex scenarios.

Foundation Support

国家自然科学基金资助项目(61962005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0186
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Algorithm Research & Explore
Pages: 159-164,169
Serial Number: 1001-3695(2024)01-023-0159-06

Publish History

[2023-07-18] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

傅彦铭, 陆盛林, 祁康恒, 等. 面向异构效用的移动群智感知多目标任务分配 [J]. 计算机应用研究, 2024, 41 (1): 159-164,169. (Fu Yanming, Lu Shenglin, Qi Kangheng, et al. Multi-objective task assignment towards heterogeneous utilities in mobile crowdsensing [J]. Application Research of Computers, 2024, 41 (1): 159-164,169. )

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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