Micro Multiobjective Evolutionary Algorithm With Piecewise Strategy for Embedded-Processor-Based Industrial Optimization

Hu Peng

doi:10.1109/TCYB.2023.3336369

2024-08-01

PRE

Hu Peng *

Fanrong Kong

Qingfu Zhang (Qingfu Zhang)

DOI：10.1109/TCYB.2023.3336369

原文链接

原文求助

摘要

En 中文

In some industrial applications, it is required to do off-line multiobjective optimization in embedded systems. Due to their limited computing and memory capability, embedded processor may not be able to run conventional multiobjective optimization evolutionary algorithms (MOEAs). This article proposes a micro MOEA with piecewise strategy $(\mu$ MOEA) for industrial optimization in embedded processor. $\mu$ MOEA introduces an improved piecewise strategy based on the MOEA/D framework, which serially optimizes subclusters to be compatible with embedded processor under limited computing power. For the purpose of further enhancing $\mu$ MOEA, a dynamic and flexible weight vector update trigger mechanism is proposed, so that the algorithm can save and utilize the computing resources of the embedded processor as much as possible. Abundant artificial test problems are carrying out to test the performance of $\mu$ MOEA. Through various experiments, it can be found that $\mu$ MOEA has outstanding performance in ZDT, DTLZ, SMOP, and MaF problems. Last and most importantly, $\mu$ MOEA is successfully applied to two specific application scenarios of industrial optimization on embedded processor for simulation, such as two different types of semi-autogenous grinding optimization problems and micro-grid energy optimization problem, which prove the feasibility of applying MOEA to embedded processor.

Keyword:

Optimization

Statistics

Sociology

Evolutionary computation

Search problems

Memory management

Artificial intelligence

Decomposition framework

embedded-processor-based industrial optimization

micro multiobjective evolutionary algorithm (MOEA)

piecewise strategy

期刊

IEEE Transactions on Cybernetics

IF:

10.5

论文数:

1.1W

被引数:

5.0W

机构

Jiujiang University

学者数:

1.6K

论文数: 999

被引数: 1.4K

City University of Hong Kong

学者数:

2.3W

论文数: 3.0W

被引数: 6.1W

引用论文

Bacterial Rhodopsin: Evidence for a New Type of Phototrophy in the Sea

Science

IF0

2000-09-15

PREAI

Oded Béjà; L. Aravind; Eugene V. Koonin; Marcelino T. Suzuki; Andrew Hadd; Linh P. Nguyen; Stevan B. Jovanovich; Christian M. Gates; Robert A. Feldman; John L. Spudich; Elena N. Spudich; Edward F. DeLong

Refining Estimates of Bird Collision and Electrocution Mortality at Power Lines in the United States

PLoS ONE

IF0

2014-07-03