Article
Computer Science, Artificial Intelligence
Aiman Ghannami, Jing Li, Ammar Hawbani, Ahmed Al-Dubai
Summary: SOBS is a new and flexible initialization method for genetic algorithms, focusing on achieving the best fitness and diversity in the phenotype and genotype of the initial population. It outperforms the commonly used PRNG method in terms of accuracy, running time, memory usage, and fitness of the initial population, making it a promising approach for solving optimization problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Software Engineering
Stefan Guthe, Daniel Thuerck
Summary: The algorithm presented in this study introduces the ε-scaling method to improve the efficiency of solving dense linear assignment problems. It significantly reduces the runtime for solving real-world problems and allows for the use of accelerators and external compute resources for handling larger problem sets. This implementation is capable of solving problems with over one trillion arcs in less than 100 hours on a single machine.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE
(2021)
Review
Chemistry, Analytical
Sabitri Poudel, Muhammad Yeasir Arafat, Sangman Moh
Summary: Advancements in electronics and software have led to the rapid development of unmanned aerial vehicles (UAVs) and their applications. Path planning is a crucial aspect of UAV communications, and bio-inspired algorithms have emerged as a potential solution. However, there is currently no survey on the existing bio-inspired algorithms for UAV path planning. This study investigates and compares various bio-inspired algorithms extensively, highlighting their key features, working principles, advantages, and limitations. It also discusses the challenges and future trends in UAV path planning.
Article
Computer Science, Artificial Intelligence
Yi-Ming Ma, Xiao-Bing Hu, Hang Zhou
Summary: This study investigates the fuzzy multi-objective path optimization problem and proposes a novel ripple-spreading algorithm to solve it. Theoretical analyses and experimental results demonstrate the efficiency and robustness of the algorithm.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Rafaqat Ali, Hai Jiang, Lubos Buzna
Summary: This paper explores the traveling itinerary problem in multimodal transportation networks, aiming to find a combined cross-border and inter-regional low-cost journey plan by utilizing multiple transportation modes. It formulates a 0-1 integer linear programming model and develops an exact algorithm to optimize computational efficiency and itinerary planning.
Article
Computer Science, Artificial Intelligence
Lihua Lin, Chuzheng Wu, Li Ma
Summary: The shortest path problem in a fuzzy network involves determining the optimal path between specified source and destination vertices, utilizing fuzzy logic to handle uncertainties. The two main challenges in this context are calculating path length using fuzzy addition and comparing path lengths denoted by fuzzy parameters. Graded mean integration technique of triangular fuzzy numbers and genetic algorithm are commonly used to address these challenges.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Mathematics
Hernan Peraza-Vazquez, Adrian Pena-Delgado, Prakash Ranjan, Chetan Barde, Arvind Choubey, Ana Beatriz Morales-Cepeda
Summary: This paper proposes a new meta-heuristic algorithm called JSOA, which mimics the hunting behavior of jumping spiders and solves global optimization problems with a fine balance between exploitation and exploration.
Article
Engineering, Mechanical
Yixuan Liu, Chen Jiang, Xiaoge Zhang, Zissimos P. Mourelatos, Dakota Barthlow, David Gorsich, Amandeep Singh
Summary: This article introduces a bio-inspired approach for multivehicle mission planning of off-road autonomous ground vehicles in dynamic environments. It analyzes vehicle reliability using physics-based simulations and identifies optimal paths using a combination of Physarum algorithm and navigation mesh.
JOURNAL OF MECHANICAL DESIGN
(2022)
Article
Engineering, Multidisciplinary
Ameer Tamoor Khan, Xinwei Cao, Bolin Liao, Adam Francis
Summary: In this paper, a variant of Beetle Antennae Search (BAS) called Distributed Beetle Antennae Search (DBAS) is proposed to solve the multi-portfolio selection problem while preserving privacy. Experimental results demonstrate that DBAS ensures portfolio privacy and is efficient and robust in selecting optimal portfolios.
Article
Operations Research & Management Science
Mina Aliakbari, Joseph Geunes, Kelly M. Sullivan
Summary: The article proposes a novel shortest path algorithm for determining a sequence of moves that minimizes the total distance required to move a train from its origin to destination, taking into account the special structure of the railyard network and the length of the train.
OPTIMIZATION LETTERS
(2021)
Article
Computer Science, Information Systems
Phan Thi Hong Hanh, Pham Dinh Thanh, Huynh Thi Thanh Binh
Summary: This paper proposes two different approaches to enhance the performance of the search process for the Clustered Shortest-Path Tree Problem, one by narrowing down the search space to find the optimal solution, and the other by decomposing the multi-graph into a set of simple graphs corresponding to mutually exclusive search spaces. These methods show promising results in experiments, especially the potential of multi-tasking schemes in improving algorithm performance.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Yusheng Huang, Dong Chu, Yong Deng, Kang Hao Cheong
Summary: The Physarum polycephalum inspired algorithm (PPA) has gained significant attention recently. To address the limitations of PPA in handling capacity constraints, a new framework called capacitated PPA (CPPA) is proposed. Experimental results demonstrate the effectiveness and robustness of CPPA, which has been successfully applied to various real-world problems.
JOURNAL OF COMPUTATIONAL SCIENCE
(2022)
Article
Automation & Control Systems
Huynh Thi Thanh Binh, Ta Bao Thang, Nguyen Duc Thai, Pham Dinh Thanh
Summary: This paper presents an MFEA-based approach to address the CluSPT problem, utilizing Dijkstra's algorithm and evolutionary operators to construct spanning trees, balancing the advantages of exact and approximate algorithms. Experimental results demonstrate the effectiveness of the proposed algorithm over existing heuristic algorithms and suggests a potential influential factor for further study.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Hardware & Architecture
Francesco Carrabs, Ciriaco D'Ambrosio, Daniele Ferone, Paola Festa, Federica Laureana
Summary: This paper discusses the Constrained Forward Shortest Path Tour Problem, presenting a mathematical formulation, reduction procedure, and a GRASP algorithm for solving large instances. Computational tests confirm the effectiveness of the reduction procedure and the efficiency of GRASP, which often finds optimal solutions and provides high-quality sub-optimal solutions quickly.
Article
Management
Michael S. Hughes, Brian J. Lunday, Jeffrey D. Weir, Kenneth M. Hopkinson
Summary: This research introduces the MSPP-PD model to balance agent routing efficiency with group vulnerability. It examines the distinguishability of different MSPP-PD variants in optimal agent routing solutions and the impact of penalty function metrics on identifying these solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Cybernetics
Zhiying Yue, Michael A. Stefanone
Summary: This study examined the social and psychological motives behind selfie-related behavior, finding a relationship between attachment anxiety and approval-based self-worth which influenced selfie behavior. Results indicated cultural differences, with American participants' selfie behavior being more influenced by approval-based self-worth.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Yixuan Liu, Chen Jiang, Xiaoge Zhang, Zissimos P. Mourelatos, Dakota Barthlow, David Gorsich, Amandeep Singh
Summary: This article introduces a bio-inspired approach for multivehicle mission planning of off-road autonomous ground vehicles in dynamic environments. It analyzes vehicle reliability using physics-based simulations and identifies optimal paths using a combination of Physarum algorithm and navigation mesh.
JOURNAL OF MECHANICAL DESIGN
(2022)
Article
Computer Science, Artificial Intelligence
Xiaoge Zhang, Sankaran Mahadevan, Felix T. S. Chan
Summary: This paper presents a framework based on uncertainty quantification to enhance the interpretability of deep learning models. By propagating uncertainty to model predictions and optimizing pixels using entropy and differential evolution, the model interpretability is effectively improved.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Communication
Zhiying Yue, David S. Lee, Jun Xiao, Renwen Zhang
Summary: The study found that there are associations between social media use and psychological well-being and physical health. Non-COVID related self-disclosure was positively associated with psychological well-being, while COVID related information consumption and sharing were negatively associated with psychological well-being. Quarantined people used social media more frequently than non-quarantined people, and the negative association between social media use and psychological well-being was significantly stronger for quarantined people.
INFORMATION COMMUNICATION & SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoge Zhang, Felix T. S. Chan, Chao Yan, Indranil Bose
Summary: This paper provides a systematic and comprehensive overview of the various risks that may arise in AI/ML systems, and emphasizes the need for research on developing a risk management framework.
DECISION SUPPORT SYSTEMS
(2022)
Article
Engineering, Industrial
Taotao Zhou, Xiaoge Zhang, Enrique Lopez Droguett, Ali Mosleh
Summary: In this paper, a PINN-based framework is proposed to assess the reliability of multi-state systems. The framework uses machine learning to convert the reliability assessment into a problem and solves the issue of gradient imbalance and establishes a continuous latent function. Experimental results show that the framework performs well in MSS reliability assessment.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Correction
Computer Science, Interdisciplinary Applications
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Review
Computer Science, Interdisciplinary Applications
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
Summary: Digital twin, as an emerging technology in the industry 4.0 era, is drawing unprecedented attention due to its potential in optimizing various processes. In this second part of the paper, the focus is on reviewing the key enabling technologies of digital twins, including uncertainty quantification, optimization methods, open-source datasets and tools. A case study of a battery digital twin is presented to illustrate the modeling and twinning methods discussed in the review. The code and preprocessed data for generating the case study results are available on Github.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Engineering, Multidisciplinary
Yiming Zhang, Dingyang Zhang, Xiaoge Zhang, Lemiao Qiu, Felix T. S. Chan, Zili Wang, Shuyou Zhang
Summary: This paper proposes a Guided Probabilistic Reinforcement Learning (Guided-PRL) model to minimize the life-cycle cost of multi-component systems maintenance. The Guided-PRL model improves upon traditional Actor-Critic models by introducing a guided sampling scheme and Bayesian models for uncertainty quantification.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Psychiatry
Hua Wang, Zhiying Yue, S. Divya
Summary: Mental health conditions and psychiatric disorders are major health issues among young people, with suicide rates increasing among teenagers. Popular media can be used to address taboo topics like suicide, but the TV series 13 Reasons Why Season 1 had some issues in dealing with this topic. Following WHO guidelines when reporting on suicide is crucial, and news reporters should receive training on best practices.
FRONTIERS IN PSYCHIATRY
(2023)
Article
Communication
Zhiying Yue, Renwen Zhang, Jun Xiao
Summary: This study investigates the relationship between active social media use, perceived social support, and well-being during and after a COVID-19 lockdown. The findings suggest that active social media use is positively associated with perceived online network responsiveness, which predicts increased perceived social support. Ultimately, increased social support is linked to reduced loneliness and increased life satisfaction. These findings highlight the potential of social media to complement offline social interactions and fulfill individuals' social needs effectively.
JOURNAL OF SOCIAL AND PERSONAL RELATIONSHIPS
(2023)
Article
Pediatrics
Zhiying Yue, Michael Rich
Summary: This review explores the complex relationship between social media and adolescent mental health, highlighting both the negative effects, such as increased depression and anxiety, as well as the potential positive influences through social support and information seeking.
CURRENT PEDIATRICS REPORTS
(2023)
Article
Computer Science, Hardware & Architecture
Wenting Yi, Wai Kit Chan, Hiu Hung Lee, Steven T. Boles, Xiaoge Zhang
Summary: This article introduces the importance of uncertainty quantification in mission-critical engineering applications and presents a methodology that seamlessly integrates a spectral-normalized neural Gaussian process (SNGP) module into GoogLeNet for accurately detecting defects in steel wire ropes. The methodology consists of three steps, including collecting raw magnetic flux leakage (MFL) signals, transforming the signals into 2-D images using Gramian angular field, and integrating SNGP into GoogLeNet with spectral normalization (SN) and Gaussian process (GP) layers. Comparative evaluations demonstrate the advantages of the developed methodology in classifying SWR defects and identifying out-of-distribution (OOD) SWR instances.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Communication
Yini Zhang, Fan Chen, Jiyoun Suk, Zhiying Yue
Summary: Despite the increasing use of digital media data in communication research, the challenge of retrieving data with maximal accuracy and coverage persists. This study introduces the WordPPR method for keyword selection and text data retrieval, which utilizes an iterative query expansion process and the Personalized PageRank algorithm to optimize retrieval precision and recall. The method demonstrates robustness against parameter choice and improvement upon other methods in suggesting additional keywords.
COMMUNICATION METHODS AND MEASURES
(2023)
Article
Communication
Kaitlin Fitzgerald, Zhiying Yue, Jody Chin Sing Wong, Melanie C. Green
Summary: This study examined the relationship between increased media use during social distancing due to COVID-19 and negative emotional states, finding that both social media and entertainment media use increased during social distancing, particularly for students. Increased media use was associated with more negative emotional states, especially for those high in need for social assurance. Surprisingly, entertainment media use was found to be associated with depression, particularly in older adults with higher transportability. The study highlights the importance of understanding how individual differences may impact media effects during times of social stress.
PSYCHOLOGY OF POPULAR MEDIA
(2022)