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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
380-384

Research on dynamic hierarchical ant optimization algorithm and its application

Chen Jiaa
You Xiaominga
Liu Shengb
Li Juana
a. College of Electronic & Electrical Engineering, b. School of Management, Shanghai University of Engineering Science, Shanghai 201620, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0716

Abstract

Based on the slow convergence speed and low coordination mechanism of ant algorithm when it was used to solve robot path planning problem, this paper proposed a new improved ant colony algorithm based on dynamic classification. First of all, it established the population classification model according to the dynamic classification operator. Then, the head-effect strategy with roulette could improve the coordination mechanism and increase the communication between populations. Finally, in order to increase the convergence speed, the dynamic pheromone update strategy with normalization could be taken with the ant algorithm pheromone update formula kept to reflect the influence of elite. In order to verify the effect, it used the grid method to build the robot motion space model. It applied this algorithm to the path planning problem and compared with several intelligence algorithm. The simulation results show that the algorithm can converge quickly and find the optimal path with fewer iterations with relatively high efficiency.

Foundation Support

国家自然科学基金资助项目(61673258,61075115,61403249,61603242)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0716
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 380-384
Serial Number: 1001-3695(2019)02-015-0380-05

Publish History

[2019-02-05] Printed Article

Cite This Article

陈佳, 游晓明, 刘升, 等. 动态分级的改良蚂蚁算法及其应用研究 [J]. 计算机应用研究, 2019, 36 (2): 380-384. (Chen Jia, You Xiaoming, Liu Sheng, et al. Research on dynamic hierarchical ant optimization algorithm and its application [J]. Application Research of Computers, 2019, 36 (2): 380-384. )

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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