Full Text:
<2>
CLC number:
On-line Access: 2025-07-07
Received: 2024-11-01
Revision Accepted: 2025-05-26
Crosschecked: 0000-00-00
Cited: 0
Clicked: 2
An adaptive dung beetle optimizer based on a resilient annealing mechanism and its application to numerical problems and optimi-zation of ReedMuller logic circuits
| |||||||||||||
Lixin MIAO1, Zhenxue HE1, Xiaojun ZHAO1, Yijin WANG1, Xiaodan ZHANG1, Kui YU1,Limin XIAO2, Zhisheng HUO3. An adaptive dung beetle optimizer based on a resilient annealing mechanism and its application to numerical problems and optimi-zation of ReedMuller logic circuits[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="An adaptive dung beetle optimizer based on a resilient annealing mechanism and its application to numerical problems and optimi-zation of ReedMuller logic circuits",
author="Lixin MIAO1, Zhenxue HE1, Xiaojun ZHAO1, Yijin WANG1, Xiaodan ZHANG1, Kui YU1,Limin XIAO2, Zhisheng HUO3",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2400967"
}
%0 Journal Article
%T An adaptive dung beetle optimizer based on a resilient annealing mechanism and its application to numerical problems and optimi-zation of ReedMuller logic circuits
%A Lixin MIAO1
%A Zhenxue HE1
%A Xiaojun ZHAO1
%A Yijin WANG1
%A Xiaodan ZHANG1
%A Kui YU1
%A Limin XIAO2
%A Zhisheng HUO3
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2400967
TY - JOUR
T1 - An adaptive dung beetle optimizer based on a resilient annealing mechanism and its application to numerical problems and optimi-zation of ReedMuller logic circuits
A1 - Lixin MIAO1
A1 - Zhenxue HE1
A1 - Xiaojun ZHAO1
A1 - Yijin WANG1
A1 - Xiaodan ZHANG1
A1 - Kui YU1
A1 - Limin XIAO2
A1 - Zhisheng HUO3
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2400967
Abstract: The dung beetle optimizer (DBO) is a metaheuristic algorithm with fast convergence and powerful search capabilities, which has shown excellent performance in solving various optimization problems. However, it suffers from the problems of easily falling into local optimal solutions and poor convergence accuracy when dealing with large-scale complex optimization problems. Therefore, we propose an adaptive dung beetle optimizer (ADBO) based on an elastic annealing mechanism to address these issues. First, the convergence factor is adjusted in a nonlinear decreasing manner to balance the requirements of global exploration and local exploitation to improve convergence speed and search quality; second, a greedy difference optimization strategy is intro-duced to increase population diversity, improve the global search capability, and avoid premature convergence; finally, the elastic annealing mechanism is used to perturb the randomly selected individuals, which helps the algorithm escape the local optimum to improve its solution quality and stability. Experimental results based on the CEC 2017 and CEC 2022 benchmark function sets and MCNC benchmark circuits verify the effectiveness, superiority, and universality of the ADBO.
Open peer comments: Debate/Discuss/Question/Opinion
<1>