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Patrick Mannion - IEEE Xplore Author Profile

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Author details

Patrick Mannion

Publications

2

Citations

960

Publications by Year

20192022

Co-Authors:

B. Ravi KiranPatrick PérezGolden RockefellerAhmad A. Al SallabIbrahim Sobh

Show All Co-Authors (8)

Patrick Mannion

Affiliation

School of Computer Science

National University of Ireland

Galway, Ireland

Publication Topics

Multi-agent Reinforcement Learning,
State-action Pair,
Aggregation Function,
Autonomous Vehicles,
Continuous Action Space,
Deep Learning,
Deep Q-network,
Deep Reinforcement Learning,
Deep Reinforcement Learning Algorithm,
Degree Of Coupling,
Denoising,
Development Of Learning

Biography

Patrick Mannion received the B.Eng. degree in civil engineering, a HDip in software development, the Ph.D. degree in machine learning from the National University of Ireland Galway, a PgCert in teaching & learning from Galway-Mayo IT, and a PgCert in Sensors for Autonomous Vehicles from IT Sligo. He is a permanent member of academic staff at the National University of Ireland Galway, where he lectures in computer science. He is also the Deputy Editor of The Knowledge Engineering Review journal. He is a former Irish Research Council Scholar and a former Fulbright Scholar. His main research interests include machine learning, multi-agent systems, multi-objective optimization, game theory, and metaheuristic algorithms, with applications to dom...

Publications

2

Citations

960

Publications by Year

20192022

Co-Authors:

B. Ravi Kiran
Patrick Pérez
Golden Rockefeller
Ahmad A. Al Sallab
Ibrahim Sobh

Show All Co-Authors (8)

Author's Published Works

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Showing 1-25 of 70 results

Journals (37)

Conferences (33)

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Wei-Chang Yeh(68)
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Xiangjian He(8)
Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan(17)
School of Information Technology, University of Sydney, NSW, Australia(8)
School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, China(7)
Department of Logistics and Shipping Management, Kainan University, Taoyuan, Taiwan(6)
E-Integration & Collaboration Laboratory, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan(5)
IEEE Transactions on Reliability(21)
IEEE Access(8)
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans(4)
2016 IEEE Congress on Evolutionary Computation (CEC)(3)
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)(3)
IEEE(70)
Guilin, China(4)
Vancouver, BC, Canada(4)
Brisbane, QLD, Australia(2)
Chengdu, China(2)
Orlando, FL, USA(2)
Network Reliability(27)
Sink Node(22)
Source Node(22)
Time Complexity(21)
Simple Optimization(17)

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A New Method to Evaluate the Reliability of Multistate Information Networks

Fei Wang;Hongjun Cui;Wei-Chang Yeh;Minqing Zhu;Xinwei Ma

IEEE Transactions on Reliability

Year: 2024 | Volume: 73, Issue: 3 | Journal Article |

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Multistate information networks (MINs) are the basis of many modern communication networks, and the reliability evaluation of MINs not only contributes to the structural design of networks but also facilitates the development of modern communication technologies. However, the evaluation of the reliability of MINs in studies so far always requires massive calculations. To improve the calculation ef...Show More

A New Method to Evaluate the Reliability of Multistate Information Networks

Fei Wang;Hongjun Cui;Wei-Chang Yeh;Minqing Zhu;Xinwei Ma

IEEE Transactions on Reliability

Year: 2024 | Volume: 73, Issue: 3 | Journal Article |

Combination of PSO and RF with Weights for Supervised Learning Model

Wei-Chang Yeh;Chia-Ling Huang

2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)

Year: 2023 | Conference Paper |

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The pattern, path, and discrimination according to the data can automatically discovered by the mathematical models of machine learning (ML), and accordingly the outcomes are applied to project the prospects and/or cause decisions as stated by the brand-fresh, unseen data. The supervised learning (SL) makes whole solutions are identified while generating projects about the solution by gathering in...Show More

Combination of PSO and RF with Weights for Supervised Learning Model

Wei-Chang Yeh;Chia-Ling Huang

2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou)

Year: 2023 | Conference Paper |

Automatic Deep Compression Based on Simplified Swarm Optimization

Yuh Herng Choke;Wei-Chang Yeh

2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)

Year: 2023 | Conference Paper |

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In recent years, convolutional neural networks (CNNs) have been proven and widely applied in the field of image recognition, including anomaly detection in manufacturing sites, and object detection in autonomous driving. However, the parameters obtained from the CNN increase exponentially with the depth of the network. Therefore, it is difficult to deploy the model in environments with limited com...Show More

Automatic Deep Compression Based on Simplified Swarm Optimization

Yuh Herng Choke;Wei-Chang Yeh

2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)

Year: 2023 | Conference Paper |

Improve Energy Consumption and Signal Transmission Quality of Routings in Wireless Sensor Networks

Wei-Chang Yeh;Yunzhi Jiang;Chia-Ling Huang;Neal N. Xiong;Cheng-Feng Hu;Yuan-Hui Yeh

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (15)

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Wireless (smart) sensor networks (WSNs) comprise a myriad of embedded wireless smart sensors. They play a cardinal role in the functioning of many applications, such as the Internet of Things, smart grids, smart production systems, and smart homes, which ultimately render them paramount instruments in the modern age. Recent advances in WSNs have resulted in the rapid development of sensors. Howeve...Show More

Improve Energy Consumption and Signal Transmission Quality of Routings in Wireless Sensor Networks

Wei-Chang Yeh;Yunzhi Jiang;Chia-Ling Huang;Neal N. Xiong;Cheng-Feng Hu;Yuan-Hui Yeh

Year: 2020 | Volume: 8 | Journal Article |

Developing Model of Fuzzy Constraints Based on Redundancy Allocation Problem by an Improved Swarm Algorithm

Chia-Ling Huang;Yunzhi Jiang;Wei-Chang Yeh

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (13)

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This study aims to develop a novel credibility-based fuzzy model for the constraints of a series-parallel redundancy allocation problem (RAP) with a mix of components under an uncertainty environment and investigates the reliability enhancement of wireless sensor networks (WSN) through a RAP for objective system reliability by subjecting it to two nonlinear constraints, i.e., cost and weight const...Show More

Developing Model of Fuzzy Constraints Based on Redundancy Allocation Problem by an Improved Swarm Algorithm

Chia-Ling Huang;Yunzhi Jiang;Wei-Chang Yeh

Year: 2020 | Volume: 8 | Journal Article |

Quickest Multistate Flow Networks With the Deterioration Effect

Min-Fan He;Zhifeng Hao;Wei-Chang Yeh;Chia-Chen Kuo;Neal N. Xiong;Yeou-Ren Shiue

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (1)

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In a traditional multistate quickest path problem (MQPP), the system reliability is evaluated based on a strict assumption that the net flow into and out of a system is equal to zero. However, certain networks, which are known as deteriorated networks, suffer a loss due to the deterioration effect, resulting a delivery shortage. For example, the data or goods will deteriorate or decay because the ...Show More

Quickest Multistate Flow Networks With the Deterioration Effect

Min-Fan He;Zhifeng Hao;Wei-Chang Yeh;Chia-Chen Kuo;Neal N. Xiong;Yeou-Ren Shiue

Year: 2020 | Volume: 8 | Journal Article |

GSCS: General Secure Consensus Scheme for Decentralized Blockchain Systems

Jing Wang;Yong Ding;Neal Naixue Xiong;Wei-Chang Yeh;Jinhai Wang

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (6)

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Blockchain, a type of a decentralized network system that allows mutually distrustful parties to transact securely without involving third parties, has recently been attracting increasing attention. Hence, there must be a consensus mechanism to ensure a distributed consensus among all participants. Such a consensus mechanism may also be used to guarantee fairness, correctness and security of such ...Show More

GSCS: General Secure Consensus Scheme for Decentralized Blockchain Systems

Jing Wang;Yong Ding;Neal Naixue Xiong;Wei-Chang Yeh;Jinhai Wang

Year: 2020 | Volume: 8 | Journal Article |

A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem

Zhifeng Hao;Wei-Chang Yeh;Cheng-Feng Hu;Neal N. Xiong;Yi-Zhu Su;Chia-Ling Huang

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (1)

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Acyclic (binary-state) networks are commonly implemented in many diverse disciplines and applications, including information systems, processes management, project management. These networks owe their popularity to the fact that they do not use directed cycles. Network reliability is the most commonly used tool for evaluating and managing systems modeled on acyclic networks, and minimal paths (MPs...Show More

A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem

Zhifeng Hao;Wei-Chang Yeh;Cheng-Feng Hu;Neal N. Xiong;Yi-Zhu Su;Chia-Ling Huang

Year: 2020 | Volume: 8 | Journal Article |

A New Node-Based Concept for Solving the Minimal Path Problem in General Networks

Wenbo Zhu;Wei-Chang Yeh;Neal Naixue Xiong;Bin Sun

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (6)

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The validation and evaluation of network reliability are significant issues in the planning, design, and control of systems. The minimal path (MP, an edge set) set is one of the main tools used in measuring network reliability. A new node-based concept to find all MPs is proposed by simply searching all of the ordered node subsets with a time complexity O(nen), where n is the number of nodes. The ...Show More

A New Node-Based Concept for Solving the Minimal Path Problem in General Networks

Wenbo Zhu;Wei-Chang Yeh;Neal Naixue Xiong;Bin Sun

Year: 2019 | Volume: 7 | Journal Article |

Optimization of a Convolutional Neural Network Using a Hybrid Algorithm

Chia-Ling Huang;Yan-Chih Shih;Chyh-Ming Lai;Vera Yuk Ying Chung;Wen-Bo Zhu;Wei-Chang Yeh;Xiangjian He

2019 International Joint Conference on Neural Networks (IJCNN)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

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In recent years, Convolutional Neural Networks (CNNs) have been widely used in image recognition due to their aptitude in large scale image processing. The CNN uses Back-propagation (BP) to train weights and biases, which in turn makes the error consistently smaller. The most common optimizers that uses a BP algorithm are Stochastic Gradient Decent (SGD), Adam, and Adadelta. These optimizers, howe...Show More

Optimization of a Convolutional Neural Network Using a Hybrid Algorithm

Chia-Ling Huang;Yan-Chih Shih;Chyh-Ming Lai;Vera Yuk Ying Chung;Wen-Bo Zhu;Wei-Chang Yeh;Xiangjian He

2019 International Joint Conference on Neural Networks (IJCNN)

Year: 2019 | Conference Paper |

A new Method for Dynamic Economic Emission Dispatch Problem

Chia-Ling Huang;Chen-Wei Jao;Xianyong Zhang;Wei-Chang Yeh;Vera Yuk Ying Chung;Jinhai Wang;Jun Yang;Yun-Zhi Jiang

2019 IEEE Congress on Evolutionary Computation (CEC)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

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The Dynamic Economic Emission Dispatch Problem (DEED) is a well-known problem in the study of thermal power generation. The goal of the DEED is to meet the demand change by arranging the capacities of power generators to reduce fuel cost and emission. In recent years, the high environmental awareness, the decreasing petrochemical energy, and the increasing energy demand such that the DEED is more ...Show More

A new Method for Dynamic Economic Emission Dispatch Problem

Chia-Ling Huang;Chen-Wei Jao;Xianyong Zhang;Wei-Chang Yeh;Vera Yuk Ying Chung;Jinhai Wang;Jun Yang;Yun-Zhi Jiang

2019 IEEE Congress on Evolutionary Computation (CEC)

Year: 2019 | Conference Paper |

Building an Improved Internet of Things Smart Sensor Network Based on a Three-Phase Methodology

Jinhai Wang;Wei-Chang Yeh;Neal Naixue Xiong;Jing Wang;Xiangjian He;Chia-Ling Huang

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (15)

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In recent years, the Internet of Things (IoT) has allowed the easy, intelligent, and efficient connection of many devices used in daily life by means of numerous smart sensors which communicate with each other using wireless signals. The rapid development of the IoT has been a result of recent advances in sensing technology. This paper proposes a three-phase methodology to improve the quality of e...Show More

Building an Improved Internet of Things Smart Sensor Network Based on a Three-Phase Methodology

Jinhai Wang;Wei-Chang Yeh;Neal Naixue Xiong;Jing Wang;Xiangjian He;Chia-Ling Huang

Year: 2019 | Volume: 7 | Journal Article |

A New Subtraction-Based Algorithm for the d-MPs for All d Problem

Wei-Chang Yeh;Ming J. Zuo

IEEE Transactions on Reliability

Year: 2019 | Volume: 68, Issue: 3 | Journal Article |

Cited by: Papers (13)

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The d-MP is a special state vector such that the maximal flow is d in the related network and any state vector less than d-MP is not a d-MP. The d-MP is one of the major tools in evaluating the reliability of a multistate flow network. The d-MPs for all d problem is to search for all d-MPs for all possible d. Decision-makers may use them to choose the best d under given scenarios. Current algorith...Show More

A New Subtraction-Based Algorithm for the d-MPs for All d Problem

Wei-Chang Yeh;Ming J. Zuo

IEEE Transactions on Reliability

Year: 2019 | Volume: 68, Issue: 3 | Journal Article |

A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm

Zhifeng Hao;Wei-Chang Yeh;Cheng-Feng Hu

IEEE Transactions on Reliability

Year: 2019 | Volume: 68, Issue: 1 | Journal Article |

Cited by: Papers (12)

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Network reliability is always a powerful index for measuring the performance of the multistate flow network (MFN) that is commonly used to model real-world applications. The multistate minimal cut (MC) vector is a special vector, and it is one of the most popular tools in evaluating the reliability of MFNs. Due to its importance, a novel multistate MC vectors problem is proposed by extending the t...Show More

A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm

Zhifeng Hao;Wei-Chang Yeh;Cheng-Feng Hu

IEEE Transactions on Reliability

Year: 2019 | Volume: 68, Issue: 1 | Journal Article |

A Compact Ciphertext-Policy Attribute-Based Encryption Scheme for the Information-Centric Internet of Things

Jing Wang;Neal Naixue Xiong;Jinhai Wang;Wei-Chang Yeh

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (10)

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The information-centric Internet of things (IC-IoT) is different from the traditional Internet of things (IoT) in that the device-to-device pattern is generalized to a device-to-network pattern. Furthermore, in an IC-IoT environment, there is a demand for protecting the security of all data generated from IC-IoT devices. A cryptography scheme named attribute-based encryption (ABE) represents a sma...Show More

A Compact Ciphertext-Policy Attribute-Based Encryption Scheme for the Information-Centric Internet of Things

Jing Wang;Neal Naixue Xiong;Jinhai Wang;Wei-Chang Yeh

Year: 2018 | Volume: 6 | Journal Article |

Multi Objective Scheduling in Cloud Computing Using MOSSO

Chia-Ling Huang;Yun-Zhi Jiang;Ying Yin;Wei-Chang Yeh;Vera Yuk Ying Chung;Chyh-Ming Lai

2018 IEEE Congress on Evolutionary Computation (CEC)

Year: 2018 | Conference Paper |

Cited by: Papers (7)

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Nowadays, cloud computing and big data are changing the enterprise. Cloud computing, as a new business computing mode, distributes computing tasks across resource pools made up of a large number of computers for large-scale calculation. In the current research on the task assignment problem of cloud computing, most scholars consider single-objective programming, for example minimizing the cost or ...Show More

Multi Objective Scheduling in Cloud Computing Using MOSSO

Chia-Ling Huang;Yun-Zhi Jiang;Ying Yin;Wei-Chang Yeh;Vera Yuk Ying Chung;Chyh-Ming Lai

2018 IEEE Congress on Evolutionary Computation (CEC)

Year: 2018 | Conference Paper |

Simplified Swarm Optimization for the Time Dependent Competitive Vehicle Routing Problem with Heterogeneous Fleet

Chia-Ling Huang;Yun-Zhi Jiang;Shi-Yi Tan;Wei-Chang Yeh;Vera Yuk Ying Chung;Chyh-Ming Lai

2018 IEEE Congress on Evolutionary Computation (CEC)

Year: 2018 | Conference Paper |

Cited by: Papers (2)

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Nowadays, due to the development of e-commerce, delivery time has become an important factor influencing quality of distribution service. Especially in the urban distribution environment, many factors affect the distribution time, such as traffic condition on peak hours plays an important role in outcomes of the planned schedule. Hence, more and more research devoted to the “Time-depend vehicle ro...Show More

Simplified Swarm Optimization for the Time Dependent Competitive Vehicle Routing Problem with Heterogeneous Fleet

Chia-Ling Huang;Yun-Zhi Jiang;Shi-Yi Tan;Wei-Chang Yeh;Vera Yuk Ying Chung;Chyh-Ming Lai

2018 IEEE Congress on Evolutionary Computation (CEC)

Year: 2018 | Conference Paper |

Fast Algorithm for Searching $d$ -MPs for all Possible $d$

IEEE Transactions on Reliability

Year: 2018 | Volume: 67, Issue: 1 | Journal Article |

Cited by: Papers (35)

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The evaluation of the reliability of a multistate flow network (MFN) is primarily based on the d minimal path (MP), which is a special state vector formed by the addition of d MPs. The existing algorithm for searching d-MPs for all possible d is based on the addition of MPs and (d - 1)-MPs to generate d-MP combinations. This algorithm always requires extra time for detecting and removing the d-MP ...Show More

Fast Algorithm for Searching $d$ -MPs for all Possible $d$

IEEE Transactions on Reliability

Year: 2018 | Volume: 67, Issue: 1 | Journal Article |

Simplified swarm optimization for task assignment problem in distributed computing system

Wei-Chang Yeh;Chyh-Ming Lai;Yen-Cheng Huang;Tzu-Wei Cheng;Hsin-Ping Huang;Yunzhi Jiang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

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Task assignment is a crucial step in distributed computing system, the target of the task assignment problem in distributed computing system is to assign program tasks to processors so as to minimize overall costs made of execution and communication costs and satisfy with various limited resources constraints simultaneously within a system. The task assignment problem with more than three processo...Show More

Simplified swarm optimization for task assignment problem in distributed computing system

Wei-Chang Yeh;Chyh-Ming Lai;Yen-Cheng Huang;Tzu-Wei Cheng;Hsin-Ping Huang;Yunzhi Jiang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

Solving single row facility layout problem with simplified swarm optimization

Wei-Chang Yeh;Chyh-Ming Lai;Hsin-Yi Ting;Yunzhi Jiang;Hsin-Ping Huang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

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Single Row Facility Layout Problem (SRFLP) is a NP-Complete permutation problem which has been widely studied in the academic field in order to improve the efficiency on production site. The main purpose of SRFLP is to find an optimal permutation of a given number of rectangular facilities with minimum total cost by arranging them along a straight line. In this paper, we use the Simplified Swarm O...Show More

Solving single row facility layout problem with simplified swarm optimization

Wei-Chang Yeh;Chyh-Ming Lai;Hsin-Yi Ting;Yunzhi Jiang;Hsin-Ping Huang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

A hybrid data gravitation based classification algorithm applied to gene expression data

Wei-Chang Yeh;Yen-Chin Lee;Chyh-Ming Lai;Yan-Chih Shih;Hsin-Ping Huang;Yunzhi Jiang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

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Gene expression data classification problem has caught many researchers' attention in recent years. The main challenge mentioned in such problem is to overcome the high dimensionality in the limited sample sizes. A novel classification algorithm, data gravitation based classification model (DGC), shows significant performance in many general classification problems. Also, there is an important cha...Show More

A hybrid data gravitation based classification algorithm applied to gene expression data

Wei-Chang Yeh;Yen-Chin Lee;Chyh-Ming Lai;Yan-Chih Shih;Hsin-Ping Huang;Yunzhi Jiang

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

Year: 2017 | Conference Paper |

A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State Networks

IEEE Transactions on Neural Networks and Learning Systems

Year: 2017 | Volume: 28, Issue: 11 | Journal Article |

Cited by: Papers (49)

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Network reliability is an important index to the provision of useful information for decision support in the modern world. There is always a need to calculate symbolic network reliability functions (SNRFs) due to dynamic and rapid changes in network parameters. In this brief, the proposed squeezed artificial neural network (SqANN) approach uses the Monte Carlo simulation to estimate the correspond...Show More

A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State Networks

IEEE Transactions on Neural Networks and Learning Systems

Year: 2017 | Volume: 28, Issue: 11 | Journal Article |

Evaluation the performance of supply chain based on the network reliability

Wei-Chang Yeh;Chia-Ling Huang

2016 Prognostics and System Health Management Conference (PHM-Chengdu)

Year: 2016 | Conference Paper |

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The strategic supply chain network which is a key factor influencing the efficiency of tactical operations in supply chain network, to move products from manufacturer to warehouses, and final to retailers or end customers with satisfying the request quantity while optimize the overall profitability across the supply chain, is critical. Hence, the distribution reliability assessment plays an import...Show More

Evaluation the performance of supply chain based on the network reliability

Wei-Chang Yeh;Chia-Ling Huang

2016 Prognostics and System Health Management Conference (PHM-Chengdu)

Year: 2016 | Conference Paper |

Application of simplified swarm optimization algorithm in deteriorate supply chain network problem

Wei-Chang Yeh;Wei-Ting Lin;Chyh-Ming Lai;Yen-Chin Lee;Yuk Ying Chung;Jsen-Shung Lin

2016 IEEE Congress on Evolutionary Computation (CEC)

Year: 2016 | Conference Paper |

Cited by: Papers (7)

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In the 21th century, the importance of the integration among enterprises has been raised. Many enterprises and managements start to be conscious of supply chain management. In supply chain management, reducing operating cost and satisfying customer demand are the most important things. However, the products may be spoilt during the delivery due to collisions, traffic accident, weather factor, thef...Show More

Application of simplified swarm optimization algorithm in deteriorate supply chain network problem

Wei-Chang Yeh;Wei-Ting Lin;Chyh-Ming Lai;Yen-Chin Lee;Yuk Ying Chung;Jsen-Shung Lin

2016 IEEE Congress on Evolutionary Computation (CEC)

Year: 2016 | Conference Paper |

Simplified swarm optimization with modular search for the general multi-level redundancy allocation problem in series-parallel systems

Wei-Chang Yeh;Cyuan-Yu Luo;Chyh-Ming Lai;Chi-Ting Hsu;Yuk Ying Chung;Jsen-Shung Lin

2016 IEEE Congress on Evolutionary Computation (CEC)

Year: 2016 | Conference Paper |

Cited by: Papers (2)

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In recent decade, reliability has been an important factor which may affect the performance of the system. In order to enhance the system reliability, redundancy allocation problem (RAP) is becoming an increasingly important tool in the stages of planning, designing, and controlling of systems. Moreover, the multi-level redundancy allocation problem (MRAP) and multiple multi-level redundancy alloc...Show More

Simplified swarm optimization with modular search for the general multi-level redundancy allocation problem in series-parallel systems

Wei-Chang Yeh;Cyuan-Yu Luo;Chyh-Ming Lai;Chi-Ting Hsu;Yuk Ying Chung;Jsen-Shung Lin

2016 IEEE Congress on Evolutionary Computation (CEC)

Year: 2016 | Conference Paper |

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