The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
많은 최적화 알고리즘은 인구 구조의 관점에서 알고리즘을 개선합니다. 그러나 대부분의 개선 방법은 원래의 인구 구조에 단순히 계층적 구조를 추가할 뿐이며, 이는 그 구조를 근본적으로 바꾸지 못합니다. 본 논문에서는 우산형 계층적 인공벌군집 알고리즘(UHABC)을 제안한다. 처음으로 인공벌군집알고리즘(ABC)에 이력 정보 레이어가 추가되었으며, 이 정보 레이어는 다른 레이어와 상호 작용하여 정보를 생성할 수 있습니다. 제안한 알고리즘의 유효성을 검증하기 위해 기존의 인공벌군집 알고리즘 및 IEEE CEC2017의 대표적인 XNUMX가지 메타휴리스틱 알고리즘과 비교한다. 실험 결과와 통계 분석을 통해 우산형 메커니즘이 ABC의 성능을 효과적으로 향상시키는 것으로 나타났습니다.
Tao ZHENG
University of Toyama
Han ZHANG
University of Toyama
Baohang ZHANG
University of Toyama
Zonghui CAI
University of Toyama
Kaiyu WANG
University of Toyama
Yuki TODO
Kanazawa University
Shangce GAO
University of Toyama
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부
Tao ZHENG, Han ZHANG, Baohang ZHANG, Zonghui CAI, Kaiyu WANG, Yuki TODO, Shangce GAO, "Umbrellalike Hierarchical Artificial Bee Colony Algorithm" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 3, pp. 410-418, March 2023, doi: 10.1587/transinf.2022EDP7130.
Abstract: Many optimisation algorithms improve the algorithm from the perspective of population structure. However, most improvement methods simply add hierarchical structure to the original population structure, which fails to fundamentally change its structure. In this paper, we propose an umbrellalike hierarchical artificial bee colony algorithm (UHABC). For the first time, a historical information layer is added to the artificial bee colony algorithm (ABC), and this information layer is allowed to interact with other layers to generate information. To verify the effectiveness of the proposed algorithm, we compare it with the original artificial bee colony algorithm and five representative meta-heuristic algorithms on the IEEE CEC2017. The experimental results and statistical analysis show that the umbrellalike mechanism effectively improves the performance of ABC.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022EDP7130/_p
부
@ARTICLE{e106-d_3_410,
author={Tao ZHENG, Han ZHANG, Baohang ZHANG, Zonghui CAI, Kaiyu WANG, Yuki TODO, Shangce GAO, },
journal={IEICE TRANSACTIONS on Information},
title={Umbrellalike Hierarchical Artificial Bee Colony Algorithm},
year={2023},
volume={E106-D},
number={3},
pages={410-418},
abstract={Many optimisation algorithms improve the algorithm from the perspective of population structure. However, most improvement methods simply add hierarchical structure to the original population structure, which fails to fundamentally change its structure. In this paper, we propose an umbrellalike hierarchical artificial bee colony algorithm (UHABC). For the first time, a historical information layer is added to the artificial bee colony algorithm (ABC), and this information layer is allowed to interact with other layers to generate information. To verify the effectiveness of the proposed algorithm, we compare it with the original artificial bee colony algorithm and five representative meta-heuristic algorithms on the IEEE CEC2017. The experimental results and statistical analysis show that the umbrellalike mechanism effectively improves the performance of ABC.},
keywords={},
doi={10.1587/transinf.2022EDP7130},
ISSN={1745-1361},
month={March},}
부
TY - JOUR
TI - Umbrellalike Hierarchical Artificial Bee Colony Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 410
EP - 418
AU - Tao ZHENG
AU - Han ZHANG
AU - Baohang ZHANG
AU - Zonghui CAI
AU - Kaiyu WANG
AU - Yuki TODO
AU - Shangce GAO
PY - 2023
DO - 10.1587/transinf.2022EDP7130
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2023
AB - Many optimisation algorithms improve the algorithm from the perspective of population structure. However, most improvement methods simply add hierarchical structure to the original population structure, which fails to fundamentally change its structure. In this paper, we propose an umbrellalike hierarchical artificial bee colony algorithm (UHABC). For the first time, a historical information layer is added to the artificial bee colony algorithm (ABC), and this information layer is allowed to interact with other layers to generate information. To verify the effectiveness of the proposed algorithm, we compare it with the original artificial bee colony algorithm and five representative meta-heuristic algorithms on the IEEE CEC2017. The experimental results and statistical analysis show that the umbrellalike mechanism effectively improves the performance of ABC.
ER -