Article
Automation & Control Systems
Serap Ercan Comert, Harun Resit Yazgan
Summary: This paper introduces three multi-objective electric vehicle routing problems that consider different charging strategies and electric vehicle charger types while optimizing five conflicting objectives. A new hierarchical approach consisting of Hybrid Ant Colony Optimization (HACO) and Artificial Bee Colony Algorithm (ABCA) is developed to solve these problems. The proposed approach is examined on test-based instances and achieves the best new results in most cases.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Automation & Control Systems
Yufei Xing, Dongmei Wu, Ligang Qu
Summary: This paper proposes a new method for asynchronous parallel disassembly sequence planning, addressing the issue of high dependence on asynchronous parallel disassembly mode and introducing waiting and time overlap strategies to shorten the disassembly process. Through analyzing a bevel gear reducer as an example, the effectiveness of the proposed algorithm and strategies are validated.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Nuclear Science & Technology
Xingwen Xie, Zhihong Tang, Jiejin Cai
Summary: More and more occupational workers are working in radioactive environments, especially during the overhauling of nuclear power plants, which exposes them to higher radiation doses. To ensure workers' safety, it is important to plan reasonable inspection paths for them based on the principle of as low as reasonably achievable (ALARA). In this study, an improved ant colony optimization (IACO) algorithm is proposed to solve the multi-objective inspection path-planning problem in radioactive environments. Experimental simulations show that the IACO algorithm outperforms other algorithms in finding optimal paths with lower effective doses, demonstrating its effectiveness in reducing workers' radiation exposure.
PROGRESS IN NUCLEAR ENERGY
(2022)
Article
Optics
Zanshan Zhao, Jingting Wang, Guanjun Gao, Haoyu Wang, Daobin Wang
Summary: This paper proposes a methodology for multi-objective optimization in submarine cable route planning. The costs and risks are numerically assessed and mapped to the geographical map, and the ant colony optimization algorithm is used to search for the optimal route.
Article
Computer Science, Artificial Intelligence
Haitong Zhao, Changsheng Zhang
Summary: This paper proposes a historical experience-guided pheromone updating approach to improve the efficiency and optimization quality of the multi-objective ant colony optimization algorithm.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Leila Pasandi, Mehrnaz Hooshmand, Morteza Rahbar
Summary: The paper introduces the MASA method, which can provide the most optimal route for pedestrian tourists by merging multiple factors with different weights and meeting personalized travel needs. By integrating the Ant Colony Optimization algorithm and a modified A* algorithm, multi-weighted graphs are generated to propose the most suitable tour route.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Ke Zhang, Bin Chai, Minghu Tan, Ye Zhang, Jingyu Wang
Summary: This article proposes an enhanced ant colony algorithm (EACA) with an obstacle avoidance strategy for realistic path planning with multiple evaluation metrics. The algorithm balances the contradiction between the metrics by exploring the dynamic regulation of pheromone concentration and the mechanism of fluctuating pheromone distribution, optimizing heuristic information and enhancing the path planning effect. Additionally, a new mechanism of away-from-obstacles is introduced as the obstacle avoidance strategy, ensuring a reasonable safe distance. Comparative simulations on several different maps validate the performance of the EACA with the obstacle avoidance strategy for planning robot movement paths.
ENGINEERING OPTIMIZATION
(2023)
Article
Plant Sciences
Haoxin Tian, Zhenjie Mo, Chenyang Ma, Junqi Xiao, Ruichang Jia, Yubin Lan, Yali Zhang
Summary: This study proposes a plant protection route planning algorithm to solve the waypoint planning problem of UAV multi-objective tasks in orchard scenes. By improving the heuristic function in Ant Colony Optimization (ACO), the algorithm combines corner cost and distance cost for multi-objective node optimization. Results show that the proposed algorithm can optimize the spraying path according to the position of each fruit tree and the flight characteristics of UAV, effectively reducing energy consumption and improving operating efficiency.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Engineering, Marine
Zong-ran Dong, Xuan-yi Bian, Shuang Zhao
Summary: This paper proposes a new ship pipe route design method based on multi-objective ant colony optimization (MOACO), which addresses the issues of diverse objectives and complex constraints in SPRD. The feasibility and efficiency of the proposed method are verified through simulation and actual routing cases.
Article
Nuclear Science & Technology
De Zhang, Run Luo, Ye-bo Yin, Shu-liang Zou
Summary: This paper proposes a hybrid algorithm to solve the multi-objective path planning problem for mobile robots in a static nuclear accident environment. The algorithm uses a two-layer cost grid map to model the environment and consists of two steps: optimizing the path using an improved ant colony optimization algorithm-modified A* (IACO-A*) and integrating a high radiation dose rate avoidance strategy. Simulations show that the proposed IACO-A* algorithm has better path quality and outperforms other methods in terms of stability and cost minimization.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Etsushi Saeki, Siya Bao, Toshinori Takayama, Nozomu Togawa
Summary: In this paper, a multi-objective trip planning method using ant colony optimization (ACO) is proposed, which can construct trip routes based on users' general preferences and tendencies. Experimental results show that the method outperforms baseline methods and user study indicates high scores.
Article
Computer Science, Interdisciplinary Applications
Eunseo Oh, Hyunsoo Lee
Summary: This study combines existing metaheuristic algorithms with a prediction method to solve the path planning problem. By modifying the ant colony optimization algorithm and using predicted pheromone traits, the efficiency of the algorithm is improved.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Civil
Pablo Martinez Fernandez, Juan B. Font Torres, Ignacio Villalba Sanchis, Ricardo Insa Franco
Summary: This paper evaluates the performance of a meta-heuristic optimization algorithm (MOACOr) in optimizing the speed profiles of metro trains. Compared to the conventional genetic algorithm (NSGA-II), MOACOr shows better convergence, regularity, and solution diversity.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
(2023)
Article
Multidisciplinary Sciences
Shengbin Liang, Tongtong Jiao, Wencai Du, Shenming Qu
Summary: The improved ant colony optimization algorithm combines contextual information of scenic spots with pheromone update strategy to optimize tourism route planning, resulting in routes that better cater to tourist preferences. The introduction of sub-path support degree helps prevent falling into local optima.
Article
Chemistry, Analytical
Muhammad Shafiq, Zain Anwar Ali, Amber Israr, Eman H. Alkhammash, Myriam Hadjouni, Jari Juhani Jussila
Summary: This study compares two hybrid models of Ant Colony Optimization for UAV path planning and finds that the MMACO-DE technique outperforms the MMACO-CM approach in terms of route selection and convergence time.
Article
Computer Science, Artificial Intelligence
Yilin Guo, Wen Feng Lu, Jerry Ying Hsi Fuh
Summary: This study proposes a semi-supervised deep learning-based framework for manufacturability assessment of metal cellular structures, representing complex structures as 3D binary arrays with efficient voxelization methods. By training a deep learning classifier with only a small amount of experimental data using a semi-supervised learning approach, the framework demonstrates advantages over existing DFAM methods and machine learning models in predicting manufacturability, even for various other complex geometries with limited training data.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Review
Engineering, Biomedical
Niyou Wang, Jerry Ying Hsi Fuh, S. Thameem Dheen, A. Senthil Kumar
Summary: Bone defects and diseases can have severe consequences, but orthopedic implants and scaffolds help in the treatment by promoting bone growth. Metallic and metallic oxide nanoparticles offer unique properties that can enhance orthopedic implants and scaffolds, but their potential toxicity to cells and tissues needs to be carefully considered.
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS
(2021)
Article
Chemistry, Physical
Qiqiang Cao, Zhuoqi Shi, Yuchao Bai, Jiong Zhang, Cuiling Zhao, Jerry Ying Hsi Fuh, Hao Wang
Summary: This paper presents a novel method to improve the machinability of cone support structures by filling epoxy resin in the gaps between support structures. The method not only corrects the problems of support tilting and collapsing but also significantly reduces cutting force, tool wear, and damage to the workpiece surface.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Otorhinolaryngology
Joshua K. Tay, Gail B. Cross, Song Tar Toh, Chun Kiat Lee, Jerold Loh, Zhen Yu Lim, Nicholas Ngiam, Jeremy Chee, Soo Wah Gan, Anmol Saraf, Wai Tung Eason Chow, Han Lee Goh, Chor Hiang Siow, Derrick W. Q. Lian, Woei Shyang Loh, Kwok Seng Loh, Chwee Ming Lim, Ying Ying Chua, Thuan Tong Tan, Hiang Khoon Tan, Benedict Yan, Karrie Ko, Kian Sing Chan, Lynette Oon, Vincent T. K. Chow, De Yun Wang, Jerry Y. H. Fuh, Ching-Chiuan Yen, John E. L. Wong, David M. Allen
Summary: The study aimed to determine the accuracy and acceptability of three-dimensionally printed nasopharyngeal swabs (3DP swabs) in identifying severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results showed that the 3DP swab performed accurately and consistently across health care institutions in patients with COVID-19.
JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY
(2021)
Article
Engineering, Manufacturing
Wenjun Ge, Jerry Y. H. Fuh, Suck Joo Na
Summary: A 3D numerical model was developed to simulate the keyhole mode in selective laser melting process, providing detailed simulations of molten pool flow and temperature field. The study results can guide the optimization of manufacturing process parameters.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Chemistry, Physical
Xianyin Duan, Xinyue Chen, Kunpeng Zhu, Tao Long, Shiyang Huang, Fuh Y. H. Jerry
Summary: In the selective laser melting process, temperature and stress distribution evolution have a significant impact on the microstructure, build quality, and mechanical properties of components. Finite element methods are used to simulate and predict the building process to monitor temperature and stress distribution changes in real time. Experimental results suggest that optimizing laser power, scanning speed, and spot diameter parameters can improve the build quality of SLM parts.
Article
Engineering, Manufacturing
Guo Yilin, Jerry Fuh Ying Hsi, Lu Wen Feng
Summary: Additive manufacturing allows for complex geometries in parts, expanding the design space to microarchitecture scale. Optimizing structures within this expanded design space can improve performance. A surrogate model based on 3D convolutional neural networks provides flexibility in predicting material properties of microscale structures.
VIRTUAL AND PHYSICAL PROTOTYPING
(2021)
Article
Engineering, Manufacturing
K. Ren, Y. Chew, N. Liu, Y. F. Zhang, J. Y. H. Fuh, G. J. Bi
Summary: This study introduces a new method combining finite element simulation and machine learning to select a multi-layer laser infill toolpath planning strategy that minimizes localized heat accumulation.
VIRTUAL AND PHYSICAL PROTOTYPING
(2021)
Article
Nanoscience & Nanotechnology
Xue Wang, Liping Zhao, Jerry Ying Hsi Fuh, Heow Pueh Lee
Summary: This paper analyzes the effects of statistical pore characteristics on the mechanical behavior of LPBF processed parts and proposes a micromechanical model to predict the mechanical properties of the materials. The relationship among pore features is studied to gain insights on how the pore details affect the tensile behavior of the parts.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Automation & Control Systems
Kunpeng Zhu, Jerry Ying Hsi Fuh, Xin Lin
Summary: Metal-based additive manufacturing (MAM) processes show great potential in various industrial applications, but defects in the process can greatly impact the quality and reliability of the final products. MAM process monitoring, especially with the use of machine learning (ML) frameworks, is crucial for improving build quality and eliminating defects. This article discusses different monitoring methods and proposes a ML framework for process condition monitoring, highlighting the importance of advancing ML-based research in this field.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Editorial Material
Engineering, Manufacturing
Hao Wang, Jerry Ying Hsi Fuh
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING
(2023)
Review
Engineering, Biomedical
Harish K. Handral, Vaishali P. Natu, Tong Cao, Jerry Y. H. Fuh, Gopu Sriram, Wen F. Lu
BIO-DESIGN AND MANUFACTURING
(2022)
Review
Engineering, Manufacturing
Xing Peng, Lingbao Kong, Jerry Ying Hsi Fuh, Hao Wang
Summary: Additive manufacturing technology has advanced rapidly, allowing for production of complex parts with improved surface quality and mechanical properties. Post-processing technologies are applied to address challenges faced during AM processes, enhancing the overall quality of additively manufactured parts.
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING
(2021)
Review
Engineering, Biomedical
Niyou Wang, Jerry Ying Hsi Fuh, S. Thameem Dheen, A. Senthil Kumar
Summary: With the continuous improvement of nanoparticle synthesis methods, it is possible to better meet the needs of different applications and enhance their widespread use.
BIO-DESIGN AND MANUFACTURING
(2021)
Article
Automation & Control Systems
Kunpeng Zhu, Jerry Ying Hsi Fuh, Xin Lin
Summary: Defects in metal-based additive manufacturing processes hinder its reliable application in critical industries like aerospace and medical, highlighting the importance of process monitoring. A machine learning framework provides a technical basis for monitoring, with shallow and deep learning methods proposed in this article for monitoring the MAM process.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
