Performance Improvement of Element Description Method Using Artificial Bee Colony Algorithm

Issei Takeuchi, Seiichiro Katsura

Research output: Contribution to journalArticlepeer-review

Abstract

In order to improve control performance in various control fields, it is important to model the controlled object accurately. In this case, the quality of the model is considerably influenced by the structure of the model determined by the engineer. An element description method is a method that can optimize not only parameters but also the structure of the model. Therefore, it is possible to search over a wide range without being restricted by human design. However, this considerably increases the search space, and it is easy to fall into a local solution. In this study, the artificial bee colony algorithm is combined with the element description method to improve its search ability. The artificial bee colony algorithm is known to be effective for high-dimensional and multimodal problems. The performance of the proposed method is validated using a heat sealing system in packaging machinery. The proposed method is evaluated in comparison with the genetic algorithm, which is a conventional method. Experiments confirm that the local solution avoidance performance of the artificial bee colony algorithm is significantly better than that of the genetic algorithm.

Original languageEnglish
Pages (from-to)643-649
Number of pages7
JournalIEEJ Journal of Industry Applications
Volume11
Issue number5
DOIs
Publication statusPublished - 2022

Keywords

  • artificial bee colony algorithm
  • element description method
  • genetic algorithm
  • particle swarm optimization
  • system identification
  • temperature control

ASJC Scopus subject areas

  • Automotive Engineering
  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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