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Three stage based reinforcement learning for combining multiple metaheuristic algorithms

SWARM AND EVOLUTIONARY COMPUTATION 2025年 95卷

作者： Liu, Xiaotong Wang, Tianlei Zeng, Zhiqiang Tian, Ye Tong, Jun Wuyi Univ Sch Mech & Automat Engn Jiangmen 529020 Peoples R China Wuyi Univ Sch Elect & Informat Engn Jiangmen 529020 Peoples R China Dongguan Univ Technol Sch Mech Engn Dongguan 523808 Peoples R China Anhui Univ Sch Comp Sci & Technol Hefei 230601 Peoples R China Univ Wollongong Sch Elect Comp & Telecommun Engn Wollongong NSW 2500 Australia Jiangmen Key Lab Kejie Semicond Bonding Technol & Jiangmen 529020 Peoples R China

Combined of metaheuristic algorithms can effectively improve the performance of algorithms by utilizing the characteristics of different metaheuristic algorithms, and the key is how to combine multiple metaheuristic algorithms. Reinforcement learning is one of the effective methods for combining multiple metaheuristic algorithms. However, designing a competitive reinforcement learning approach to achieve efficient collaboration among metaheuristic algorithms is a highly challenging task. Therefore, this study proposes a three-stage reinforcement learning for combining multiple metaheuristic algorithms (TSRL-CMM). TSRL-CMM is divided into three stages: the exploration stage, the stage with both exploration and exploitation, and the exploitation stage. On this basis, an adaptive action selection strategy and a reward function are designed. The proposed action selection strategy can adaptively select appropriate metaheuristic algorithms based on the state of the population, achieving a balance between exploration and exploitation. The proposed reward function can effectively guide the population to transition to the expected state based on the iteration stage and state transitions. To verify the effectiveness of TSRL-CMM, we evaluated it using the CEC2017 test suite, nine real-world engineering design problems and six power system optimization problems. TSRL-CMM was compared with 10 state-of-the-art metaheuristic algorithms, and experimental results showed that TSRL-CMM performed better than the compared algorithms in both artificial and real-world problems. Furthermore, TSRL-CMM was specifically compared with three CEC winner algorithms on the CEC 2017 benchmark test suite. The experimental results show that the proposed algorithm is highly competitive. The source code can be obtained from https://***/xtongliu/TSRL-CMM-code.

关键词： Reinforcement learning combination algorithm Metaheuristic algorithm Engineering optimization

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Research and application of the algorithm editing method for improving active noise control performance

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JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL 2025年

作者： Song, Haisheng Dong, Yahui Yang, Na Chen, Zhiyong Henan Inst Technol Sch Vehicle & Traff Engn Pingyuan Rd 699 Xinxiang 453002 Peoples R China Jilin Univ State Key Lab Automot Simulat & Control Changchun Peoples R China Shaanxi Heavy Duty Automobile Co LTD Inst Automot Engn R&D Xian Peoples R China

In the field of active noise control systems, combining multiple algorithms to improve equalization performance has generated notable interest. Nevertheless, the computation of threshold control parameters for algorithm switching during each iteration leads to a significant increase in computational complexity. Additionally, the frequent switching of algorithms poses challenges in fully leveraging the performance of individual algorithms. Therefore, this paper utilizes the film editing concept to introduce the algorithm Editing Method (AEM). AEM entails selecting appropriate algorithms based on distinctive iteration stages, followed by precise cutting and splicing according to the defined switching coefficient. Appropriate algorithms are implemented at specific iteration stages, eliminating the requirement for frequent algorithm switching during the iterative process. To substantiate the effectiveness of this approach, the FxLMS and Momentum-FxLMS algorithms serve as foundational components of AEM, enhancing convergence performance in an active noise control system. The results show a noteworthy enhancement in convergence speed and reduction of steady-state error, attained without a simultaneous escalation in computational complexity. Additionally, this study extends the application of AEM to improve the system's robustness against impulse signals. The simulations and tests results demonstrate the method's effectiveness, achieving a balance of optimized convergence speed, reduction in steady-state error, and minimized computational complexity.

关键词： Active noise control adaptive filter algorithm editing method combination algorithm

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Measured Scan Data Reduction combination algorithm Based on Scan Line 3

Measured Scan Data Reduction Combination Algorithm Based on ...

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3rd International Conference on Advanced Engineering Materials and Architecture Science (ICAEMAS)

作者： Wang, Shigang Yan, Yong Wang, Fengjuan Qiqihar Univ Sch Mechatron Engn Qiqihar 161006 Peoples R China

ISBN: (纸本)9783038352679

The 3D laser scanning technology is a hot spot in developed measuring in recent years. In the surface reconstruction of reverse engineering, the 3D laser scanning point cloud data is too large, and is not conducive to the computation, storage and surface reconstruction. After understanding the research status of the point cloud data processing streamline method at home and abroad, and through the analysis of minimum distance algorithm and the angle-chord height combined code method applicable to engineering characteristics, at the same time, the combination algorithm, which is based on the minimum distance algorithm and the angle-chord height combined code method, is proposed to simplify the point cloud data. The scanning point cloud is simplified by using matlab line by line.

关键词： Reverse Engineering Laser Scanning Data Reduction combination algorithm

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Research on procedure optimisation for composite grinding based on Digital Twin technology

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2023年第6期61卷 1736-1754页

作者： Shen, Nanyan Wu, Yang Li, Jing He, Tianqiang Lu, Yushun Xu, Yingjie Shanghai Univ Sch Mechatron Engn & Automat Shanghai Key Lab Intelligent Mfg & Robot Shanghai Peoples R China

The complexity of composite grinding movement, the variety of machining features and available grinding wheels, and the changing working conditions pose a challenge to the rapid programming of safe and efficient composite grinding procedure. The procedure optimisation plays an important role in solving this difficult problem. Therefore, a procedure optimisation method is proposed for composite grinding based on a Digital Twin (DT) system, which takes procedure time as optimisation objective to achieve high efficiency and ensures process rationality and safety by constructing corresponding constraint conditions. Moreover, the actual working conditions mapped into the DT system, such as workpiece parameters, machining requirements, grinding wheel parameters and status, machine tool motion position, and so on, are obtained to update the parameters involved in the optimisation model. And thus, the proposed method has the ability to timely find the optimal procedure under changing working conditions. In addition, a combination algorithm based on genetic algorithm (GA) and dynamic programming is proposed, which greatly reduces the search space of GA and realises the two-class co-optimisation of grinding wheel selection and procedure. Finally, the case study verifies the effectiveness of the proposed method to reduce procedure time and the dynamic response ability to changing working conditions.

关键词： Procedure optimisation composite grinding Digital Twin machine tool combination algorithm

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Joint Task Allocation and Path Planning for Space Robot

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IEEE ACCESS 2023年 11卷 42314-42323页

作者： Sun, Yifei Wu, Jigang Liu, Tonglai Guangdong Univ Technol Sch Comp Sci & Technol Guangzhou 510006 Peoples R China Zhongkai Univ Agr & Engn Coll Informat Sci & Technol Guangzhou 510225 Peoples R China

Space robots have a broad application prospect in the aerospace industry. It is difficult for space robots to keep running for a long time due to limited fuel. In addition, it is impossible to replenish the fuel for space robots at any time due to the unique working environment. Therefore, a proper path is crucial for the effective operation of the space robot. In this paper, we investigate the allocation of exploration tasks and the path planning of space robots jointly. The goal is to minimize the completion latency of exploration tasks. We propose two algorithms named subbranch insertion task allocation (SI-TA) and parallel search task allocation (PS-TA) to solve the problem. We also customize an algorithm named random path planning task allocation (RTA) as the baseline. At last, we implement extensive experiments to demonstrate that proposed algorithms can obtain lower completion latency than RTA. Compared with RTA, the proposed algorithms SI-TA and PS-TA can reduce completion latency by at least 20% and 40%, respectively. Moreover, both algorithms work more stably than RTA.

关键词： Robots Path planning Task analysis Service robots Resource management Machine learning algorithms Space exploration Space robot path planning combination algorithm completion latency

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Research on the positioning method of online community users from the perspective of precision marketing

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ELECTRONIC COMMERCE RESEARCH 2023年第2期23卷 1271-1296页

作者： Zhao, Xiaogang Zhang, Hao Shen, Hai Zhou, Yadong Xian Int Studies Univ Business Sch Xian Peoples R China Xi An Jiao Tong Univ MOE Key Lab Intelligent Networks & Network Secur Xian Peoples R China

In precision marketing for online communities, the existing text-based methods of user positioning cannot position new users rapidly, and they have low positioning efficiency when there is a large number of users. This research proposes a systematic method for the positioning of online community users. In this method, text mining and clustering algorithms are combined to cluster users, and then the user clusters are effectively matched with users' basic attributes through a multinomial logistic regression model. By this means, efficient positioning under the circumstances of a rapid increase in new users and a large number of users can be achieved. Calculation results from a real world example show that this method can effectively solve the problems found in traditional user positioning methods and provides a productive new approach to community user positioning. The study also offers suggestions for user classification management from the perspective of precision marketing.

关键词： Precision marketing Online community User positioning combination algorithm

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Review on Active Noise Control Technology for α-Stable Distribution Impulsive Noise

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2022年第2期41卷 956-993页

作者： Chen, Shuming Gu, Feihong Liang, Chao Meng, Hao Wu, Kaiming Zhou, Zhengdao Jilin Univ State Key Lab Automot Simulat & Control Changchun 130022 Peoples R China

This paper provides a detailed overview of active impulsive noise control (AINC) technology of alpha-stable distribution noise. The second-order moment of the non-Gaussian impulsive noise does not exist, so the adaptive algorithms based on second-order statistics would lead to poor noise reduction performance. On account of this defect, a series of AINC algorithms have been proposed over the past 25 years. In this paper, we briefly classified the AINC algorithms into the classic algorithms and the expanded algorithms depending on different criteria, and both the classic AINC algorithms and the expanded AINC algorithms are further divided. Afterward, we introduced the principles and characteristics of different AINC algorithms and listed the weights update formulas of those algorithms. Finally, the computational complexity comparisons of common AINC algorithms and further recommendations are given, and a brief review about the experimental testing of AINC systems is provided in order to assist related scholars to carry out AINC researches more conveniently.

关键词： Active noise control Impulsive noise alpha-stable distribution Adaptive algorithm combination algorithm

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Intelligent decision-making for a "Three-Variable"frequency-hopping pattern based on OC-CDRL

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PHYSICAL COMMUNICATION 2024年 66卷

作者： Meng, Ziyu Dai, Shaogang Zhao, Zhijin Ye, Xueyi Zheng, Shilian Lou, Caiyi Yang, Xiaoniu Hangzhou Dianzi Univ Sch Commun Engn Hangzhou 310000 Peoples R China Natl Key Lab Electromagnet Space Secur Jiaxing 314000 Peoples R China

The frequency hopping pattern of the existing frequency hopping communication system is not designed according to the electromagnetic interference environment, resulting in blind anti-jamming. Therefore, to address this problem, a "three-variable"frequency-hopping pattern is proposed, where the frequency, hopping rate, and instantaneous bandwidth of the frequency-hopping signal vary randomly based on the background electromagnetic interference. The decision-making problem of the "three-variable"frequency-hopping pattern is modeled as a Markov decision process (MDP) by constructing the state-action-reward tuple. The designed frequency varies continuously within a small frequency band selected from a pseudo-random sequence to alleviate the problem of dimension explosion in decision-making. At the same time, discrete values for the hopping rate and instantaneous bandwidth are designed. To solve this MDP problem efficiently, a combined deep reinforcement learning algorithm (OC-CDRL) based on optimistic exploration and conservative estimation is proposed, which combines the features of TD3 and D3QN algorithms and designs the corresponding states, actions, and rewards to deal with continuous and discrete action spaces, respectively. To address the problem that the D3QN algorithm tends to fall into local optimal solutions, an optimistic exploration strategy (OES) for action selection is proposed to improve the degree of exploration. Moreover, the loss function is improved by conservatively estimating state-action pairs outside the experience replay buffer, reducing the overestimation of the optimistic action-value function and increasing the stability and convergence of the algorithm. Comparative simulation results of the algorithms in different electromagnetic interference environments show that the OC-CDRL algorithm effectively avoids most regions with higher interference and has better adaptability and anti-jamming capability.

关键词： Anti-jamming communication "Three-variable"frequency-hopping pattern combination algorithm Optimistic exploration

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algorithmic Enhancement of Automotive MEMS Gyroscopes With Consumer-Type Redundancy

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IEEE SENSORS JOURNAL 2021年第2期21卷 2092-2103页

作者： Pentek, Zsigmond Hiller, Tobias Czmerk, Andras Robert Bosch Kft H-1103 Budapest Hungary Budapest Univ Technol & Econ Dept Mechatron Opt & Mech Engn Informat Fac Mech Engn H-1111 Budapest Hungary Robert Bosch GmbH D-72762 Reutlingen Germany

In this paper a novel fusion algorithm for a setup of redundant MEMS gyroscopes is proposed. Six cost-efficient, tri-axial, consumer-type sensors are combined with three single-axis vibration-robust automotive-type devices. The proposed algorithm provides a virtual sensor output that has both low noise due to redundancy averaging, as well as good mitigation of external, high-frequency vibration disturbances. Thereby the advantages of both sensor types, consumer and automotive, are combined. If one sensor is compromised by vibration influences, the conflicting sensor signals are challenging to conventional fusion methods. To overcome this, a two-stage fusion algorithm, called topological conflict measure (TCM), is proposed. It is based on weighted sums, where the weights for each sensor diminish as the signal reliability decreases. The method can be utilized to (1) assess a measure of multi-sensor conflict, (2) to improve fusion of redundant devices by lessening weighting for sensors with high conflict, and (3) to combine the fused signals calculated from sensors with inherently different characteristics, like vibration robustness in this case. Furthermore, a selection of other possible methods is implemented and compared to TCM: simple Bayesian averaging (BA), Dempster-Shafer Evidence Theory (DSET), Kalman filtering (KF) and fuzzy inference system (FIS). All methods offer similar, improved noise levels while the TCM, KF and FIS methods achieve the best vibration rejection. Among those, TCM has the best computational efficiency and adaptability to other types of redundant sensor setups.

关键词： Sensor fusion Vibrations Gyroscopes Micromechanical devices Automotive engineering Sensor phenomena and characterization Inertial sensors MEMS gyroscope accelerometer high-performance consumer-type automotive-type combination algorithm vibration reliability plausibility Allan variance

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A combination algorithm of Multiple Lattice-Valued Concept Lattices

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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2013年第5期6卷 881-892页

作者： Yang, Li Wang, Yuhui Xu, Yang North China Univ Water Resources & Elect Power Sch Math & Informat Sci Zhengzhou 450046 Henan Peoples R China Southwest Jiaotong Univ Coll Traff & Transportat Chengdu 610031 Sichuan Peoples R China Southwest Jiaotong Univ Intelligent Control Dev Ctr Chengdu 610031 Sichuan Peoples R China

With the rapid development of network technology, especially in the internet area, distributed computation and parallel processing of data are urgently needed. This paper studies the combination operation of the lattice-valued concept lattices to realize its distributed computation and parallel processing. The proposal of its corresponding combination algorithm is mainly according to the conjunction properties of incomparable attribute values. Firstly, we define a homotypic lattice-valued concept lattice and a combined concept lattice;secondly, we analyze some relations between the lattice-valued formal concepts under two conditions and prove the isomorphism of the combination theory;finally, we present the combination algorithm of multiple lattice-valued concept lattices and analyze the algorithm complexity and employ an example to show the application of this combination algorithm.

关键词： Concept lattice Lattice-valued concept lattice Homotypic formal context combination algorithm Parallel processing

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