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arXiv 2020年

作者： Pang, Lie Meng Ishibuchi, Hisao Shang, Ke Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China

In the evolutionary multi-objective optimization (EMO) community, it is usually assumed that the final population is presented to the decision maker as the result of the execution of an EMO algorithm. Recently, an unbounded external archive was used to evaluate the performance of EMO algorithms in some studies where a pre-specified number of solutions are selected from all the examined non-dominated solutions. In this framework, which is referred to as the solution selection framework, the final population does not have to be a good solution set. Thus, the solution selection framework offers higher flexibility to the design of EMO algorithms than the final population framework. In this paper, we examine the design of MOEA/D under these two frameworks. First, we show that the performance of MOEA/D is improved by linearly changing the reference point specification during its execution through computational experiments with various combinations of initial and final specifications. Robust and high performance of the solution selection framework is observed. Then, we examine the use of a genetic algorithm-based offline hyper-heuristic method to find the best configuration of MOEA/D in each framework. Finally, we further discuss solution selection after the execution of an EMO algorithm in the solution selection framework. Copyright © 2020, The Authors. All rights reserved.

关键词： Heuristic methods

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Machine Memory Intelligence: Inspired by Human Memory Mechanisms

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Engineering 2025年

作者： Qinghua Zheng Huan Liu Xiaoqing Zhang Caixia Yan Xiangyong Cao Tieliang Gong Yong-Jin Liu Bin Shi Zhen Peng Xiaocen Fan Ying Cai Jun Liu School of Computer Science and Technology Xi’an Jiaotong University Xi’an 710049 China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Xi’an 710049 China Translational Research Institute of Brain and Brain-Like Intelligence Shanghai Fourth People’s Hospital Shanghai 200434 China School of Medicine Tongji University Shanghai 200092 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China Department of Computer Science Iowa State University Ames IA 50011 USA

Large models, exemplified by ChatGPT, have reached the pinnacle of contemporary artificial intelligence (AI). However, they are plagued by three inherent drawbacks: excessive training data and computing power consumption, susceptibility to catastrophic forgetting, and a deficiency in logical reasoning capabilities within black-box models. To address these challenges, we draw insights from human memory mechanisms to introduce “machine memory,” which we define as a storage structure formed by encoding external information into a machine-representable and computable format. Centered on machine memory, we propose the brand-new machine memory intelligence (M 2 I) framework, which encompasses representation, learning, and reasoning modules and loops. We explore the key issues and recent advances in the four core aspects of M 2 I, including neural mechanisms, associative representation, continual learning, and collaborative reasoning within machine memory. M 2 I aims to liberate machine intelligence from the confines of data-centric neural networks and fundamentally break through the limitations of existing large models, driving a qualitative leap from weak to strong AI.

关键词： Machine memory intelligence Neural mechanism Associative representation Continual learning Collaborative reasoning

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Memetic search for vehicle routing with simultaneous pickup-delivery and time windows

arXiv

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arXiv 2020年

作者： Liu, Shengcai Tang, Ke Yao, Xin Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China

The Vehicle Routing Problem with Simultaneous Pickup-Delivery and Time Windows (VRPSPDTW) has attracted much research interest in the last decade, due to its wide application in modern logistics. Since VRPSPDTW is NP-hard and exact methods are only applicable to small-scale instances, heuristics and meta-heuristics are commonly adopted. In this paper we propose a novel Memetic Algorithm with efficienT local search and Extended neighborhood, dubbed MATE, to solve this problem. Compared to existing algorithms, the advantages of MATE lie in two aspects. First, it is capable of more effectively exploring the search space, due to its novel initialization procedure, crossover and large-step-size operators. Second, it is also more efficient in local exploitation, due to its sophisticated constant-time-complexity move evaluation mechanism. Experimental results on public benchmarks show that MATE outperforms all the state-of-the-art algorithms, and notably, finds new best-known solutions on 12 instances (65 instances in total). Moreover, a comprehensive ablation study is also conducted to show the effectiveness of the novel components integrated in MATE. Finally, a new benchmark of large-scale instances, derived from a real-world application of the JD logistics, is introduced, which can serve as a new and more challenging test set for future research. Copyright © 2020, The Authors. All rights reserved.

关键词： Vehicle routing

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Assessment of causal effects of physical activity on neurodegenerative diseases:A Mendelian randomization study

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Journal of Sport and Health science 2021年第4期10卷 454-461页

作者： Peng-Fei Wu Hui Lu Xiaoting Zhou Xuchen Liang Ruizhuo Li Wan Zhang Danyang Li Kun Xia Center for Medical Genetics&Hunan Provincial Key Laboratory of Medical Genetics School of Life SciencesCentral South UniversityChangsha 410008China Department of Neurology Beth Israel Deaconess Medical Center&Harvard Medical SchoolBostonMA 02115USA Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100053China Department of Neurology Xiangya HospitalCentral South UniversityChangsha 410008China School of Physical Education Henan UniversityKaifeng 475001China School of Medicine South China University of TechnologyGuangzhou 510006China Department of Biology College of Arts&SciencesBoston UniversityBostonMA 02215USA CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai 200031China

Background:Physical activity has been hypothesized to play a protective role in neurodegenerative ***,effect estimates previously derived from observational studies were prone to confounding or reverse ***:We performed a two-sample Mendelian randomization(MR)analysis to explore the causal association of accelerometer-measured physical activity with 3 common neurodegenerative diseases:Alzheimer’s disease(AD),Parkinson’s disease(PD),and amyotrophic lateral sclerosis(ALS).We selected genetic instrumental variants reaching genome-wide significance(p<5×10^(-8))from 2 largest meta-analyses of about 91,100 UK Biobank *** statistics for AD,PD,and ALS were retrieved from the up-to-date studies in European ancestry led by the international *** random-effect,inverse-variance weighted MR was employed as the primary method,while MR pleiotropy residual sum and outlier(MR-PRESSO),weighted median,and MR-Egger were implemented as sensitivity *** statistical analyses were performed using the R programming language(Version 3.6.1;R Foundation for Statistical Computing,Vienna,Austria).Results:Primary MR analysis and replication analysis utilized 5 and 8 instrumental variables,which explained 0.2%and 0.4%variance in physical activity,*** each set,one variant at 17q21 was significantly associated with PD,and MR sensitivity analyses indicated them it as an outlier and source of heterogeneity and *** results with the removal of outlier variants suggested odds ratios(ORs)of neurodegenerative diseases per unit increase in objectively measured physical activity were 1.52 for AD(95%confidence interval(95%CI):0.88-2.63,p=0.13)and 3.35 for PD(95%CI:1.32-8.48,p=0.01),while inconsistent results were shown in the replication set for AD(OR=1.06,95%CI:1.01-1.12,p=0.02)and PD(OR=0.99,95%CI:0.88-0.12,p=0.97).Similarly,the beneficial effect of physical activity on ALS(OR=0.51,95%CI:0.29-0.91,p=0.02)was not confirmed in

关键词： Alzheimer’s disease Amyotrophic lateral sclerosis Genetic epidemiology Mendelian randomization Parkinson’s disease Physical activity

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Co-localization of two-color rAAV2-retro confirms the dispersion characteristics of efferent projections of mitral cells in mouse accessory olfactory bulb

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Zoological Research 2020年第2期41卷 148-156页

作者： Ning Zheng Zhi-Zhong Wang Song-Wei Wang Fang-Jia Yang Xu-Tao Zhu Chen Lu Anne Manyande Xiao-Ping Rao Fu-Qiang Xu Center of Brain Science State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsNational Center for Magnetic Resonance in WuhanKey Laboratory of Magnetic Resonance in Biological SystemsWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhanHubei 430071China University of the Chinese Academy of Sciences Beijing 100049China Department of Automation School of Electrical EngineeringZhengzhou UniversityZhengzhouHenan 450001China School of Life Science Wuhan UniversityWuhanHubei 430072China School of Human and Social Sciences University of West LondonMiddlesex TW89GAUK Divisions of Biomedical Photonics Wuhan National Laboratory for OptoelectronicsWuhanHubei 430074China

The accessory olfactory bulb(AOB), located at the posterior dorsal aspect of the main olfactory bulb(MOB), is the first brain relay of the accessory olfactory system(AOS), which can parallelly detect and process volatile and nonvolatile social chemosignals and mediate different sexual and social behaviors with the main olfactory system(MOS). However, due to its anatomical location and absence of specific markers, there is a lack of research on the internal and external neural circuits of the AOB. This issue was addressed by singlecolor labeling and fluorescent double labeling using retrograde rAAVs injected into the bed nucleus of the stria terminalis(BST), anterior cortical amygdalar area(ACo), medial amygdaloid nucleus(MeA), and posteromedial cortical amygdaloid area(PMCo) in mice. We demonstrated the effectiveness of this AOB projection neuron labeling method and showed that the mitral cells of the AOB exhibited efferent projection dispersion characteristics similar to those of the MOB. Moreover, there were significant differences in the number of neurons projected to different brain regions, which indicated that each mitral cell in the AOB could project to a different number of neurons in different cortices. These results provide a circuitry basis to help understand the mechanism by which pheromone information is encoded and decoded in the AOS.

关键词： Accessory olfactory bulb Efferent projections Retrograde rAAVs Projection neuron labeling Dispersion characteristics Circuitry basis

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Analysis and fitting of a thorax path loss based on implantable galvanic coupling intra-body communication

Recent Advances in Computer Science and Communications

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Recent Advances in computer science and Communications 2021年第3期14卷 969-974页

作者： Zhang, Shuang Li, Yao Yu, Yuanyu Kuang, Jiang-Ming Yang, Jining Wang, Jiujiang Liu, Yihe Data Recovery Key Laboratory of Sichuan Province College of Computer Science & AI Neijiang Normal University Neijiang Sichuan China School of Life Science and Technology University of Electronic Science and Technology of China Chengdu Sichuan China High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan Neijiang Normal University Chengdu Sichuan China BeiDou & Wisdom Medical Doctor Workstation Neijiang Normal University Neijiang Sichuan China

Objective: The aim of this research was to study the channel transmission characteristics of living and dead animal bodies and signal path loss characteristics of implantable communication in the axial direction. Methods: By injecting fentanyl citrate injection solution, we kept the research object (a piglet) in a comatose state and then a death state, so as to analyze the channel characteristics in each state. To analyze channel gain when using an implantable device with a fixed implantation depth and varying the axial distance, we proposed an implantable two-way communication path loss model. Results: Comparing the living-body and dead-body results showed that the channel gain difference was approximately 10dB for the same position and distance, heartbeat, pulse and breathing of the living animal contributed approximately 1dB of noise. Analyzing the calculated and experimental results of the path loss model showed that the determination correlation coefficients of the model were 0.999 and 0.998, respectively. The model prediction result and the experimental verification result also agreed closely. Conclusion: The path loss model not only fits the experimental results but also has better predictabil-ity for those positions not measured. © 2021 Bentham science Publishers.

关键词： Animals

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Online Trip Planning for Public Bike Systems

Online Trip Planning for Public Bike Systems

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Jiawei Mu Jianhui Zhang Tianyu Zhang Bei Zhao Wanqing Zhang Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province College of Computer Science and Technology Hangzhou Dianzi University Hangzhou China

ISBN: (数字)9781728198668

ISBN: (纸本)9781728198675

Public Bike System (PBS) not only provides convenient travel service but also alleviates the last-mile problem. With the increasing awareness of environmental protection and green commuting, people prefer to use the public bike as transportation for short-distance travel. However, the explosion of users in PBS leads to new congestion problems. To relieve the pressure of PBS, there are many types of research on system prediction, operation, and trip planning. However, there is few work focusing on the online trip planning problem. To study the case, we propose an Online Matching Trip Planning algorithm (OMTP), and we prove the theoretical lower bound of OMTP is 1 - 1/e. And then, we consider the short-term conflicts among users and design an Online Group Trip Planning algorithm (OGTP). We design two kinds of experiments- Generated Data Based and Real Data Based. In the generated data based experiment, we reveal the impact of different parameters with the generated trip data. In the real data based experiment, we validate our proposed algorithms with the real trip data set in New York City. The results show that OMTP and OGTP save time per trip on average.

关键词： Simulation Urban areas Green products Transportation Prediction algorithms Sensor systems Planning

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Fast Multi-grid Methods for Minimizing Curvature Energies

arXiv

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arXiv 2022年

作者： Zhang, Zhenwei Chen, Ke Tang, Ke Duan, Yuping Center for Applied Mathematics Tianjin University Tianjin300072 China Liverpool Centre of Mathematics for Healthcare Centre for Mathematical Imaging Techniques Department of Mathematical Sciences University of Liverpool LiverpoolL69 7ZL United Kingdom The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen518055 China

The geometric high-order regularization methods such as mean curvature and Gaussian curvature, have been intensively studied during the last decades due to their abilities in preserving geometric properties including image edges, corners, and contrast. However, the dilemma between restoration quality and computational efficiency is an essential roadblock for high-order methods. In this paper, we propose fast multi-grid algorithms for minimizing both mean curvature and Gaussian curvature energy functionals without sacrificing accuracy for efficiency. Unlike the existing approaches based on operator splitting and the Augmented Lagrangian method (ALM), no artificial parameters are introduced in our formulation, which guarantees the robustness of the proposed algorithm. Meanwhile, we adopt the domain decomposition method to promote parallel computing and use the fine-to-coarse structure to accelerate convergence. Numerical experiments are presented on image denoising, CT, and MRI reconstruction problems to demonstrate the superiority of our method in preserving geometric structures and fine details. The proposed method is also shown effective in dealing with large-scale image processing problems by recovering an image of size 1024×1024 within 40s, while the ALM method requires around 200s. Copyright © 2022, The Authors. All rights reserved.

关键词： Image reconstruction

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A novel CNet-assisted evolutionary level repairer and its applications to super mario bros

arXiv

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arXiv 2020年

作者： Shu, Tianye Wang, Ziqi Liu, Jialin Yao, Xin Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China

Applying latent variable evolution to game level design has become more and more popular as little human expert knowledge is required. However, defective levels with illegal patterns may be generated due to the violation of constraints for level design. A traditional way of repairing the defective levels is programming specific rule-based repairers to patch the flaw. However, programming these constraints is sometimes complex and not straightforward. An autonomous level repairer which is capable of learning the constraints is needed. In this paper, we propose a novel approach, CNet, to learn the probability distribution of tiles giving its surrounding tiles on a set of real levels, and then detect the illegal tiles in generated new levels. Then, an evolutionary repairer is designed to search for optimal replacement schemes equipped with a novel search space being constructed with the help of CNet and a novel heuristic function. The proposed approaches are proved to be effective in our case study of repairing GAN-generated and artificially destroyed levels of Super Mario Bros. game. Our CNet-assisted evolutionary repairer can also be easily applied to other games of which the levels can be represented by a matrix of objects or tiles. Copyright © 2020, The Authors. All rights reserved.

关键词： Evolutionary algorithms

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Noncontact Doppler Radar-based Heart Rate Detection on the SVD and ANC

Noncontact Doppler Radar-based Heart Rate Detection on the S...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Qiuxia Shi Bin Hu Fuze Tian Qinglin Zhao Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou University School of Computer and Communication Lanzhou University of Technology Ministry of Education Key Laboratory of Special Functional Materials and Structural Design (Lanzhou University) Lanzhou China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of Semiconductors Chinese Academy of Sciences Engineering Research Center of Open Source Software and Real-Time System(Lanzhou University) Ministry of Education Key Laboratory of Special Functional Materials and Structural Design Ministry of Education Lanzhou University Lanzhou China

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

In the Doppler biological radar-based applications of noncontact measurement of vital signs, effectively extracting heartbeat information from weak thoracic mechanical motion is an important problem to be solved. This study is aimed at extracting heartbeat signal via the technology combined with Short Time Fourier Transform (STFT), Singular Value Decomposition (SVD) and Adaptive Noise Canceller (ANC) from radar recording. The simulated data and the data collected by Doppler radar biosensor realized in laboratory are employed to validate the proposed method. The results show that the proposed method has the ability of detection for the heart rate and heart rate variability indexes in rest state, it has certain advantages in time-consuming and detection accuracy. Therefore, the current method provides another way to process vital sign signals recorded by Doppler radar.

关键词： Biomedical measurement Noise cancellation Time measurement Doppler radar Recording Doppler effect Biosensors

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