Search Results - "Tan Puay Siew"

Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach by Sawadsitang, Suttinee, Niyato, Dusit, Tan, Puay-Siew, Wang, Ping

“…Unmanned aerial vehicles, also known as drones, have emerged as a promising mode of fast, energy-efficient, and cost-effective package delivery. A considerable…”
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Cooperative Management in Full-Truckload and Less-Than-Truckload Vehicle System by Rakpong Kaewpuang, Niyato, Dusit, Puay-Siew Tan, Ping Wang

“…In cooperative logistics, shippers can cooperate to improve efficiency and reduce the cost of product/package delivery services. In this paper, we consider the…”
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Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II by Bali, Kavitesh Kumar, Ong, Yew-Soon, Gupta, Abhishek, Tan, Puay Siew

“…Humans rarely tackle every problem from scratch. Given this observation, the motivation for this paper is to improve optimization performance through adaptive…”
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Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II by Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“…Humans have the ability to identify recurring patterns in diverse situations encountered over a lifetime, constantly understanding relationships between tasks…”
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Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach by Sawadsitang, Suttinee, Niyato, Dusit, Tan, Puay Siew, Wang, Ping, Nutanong, Sarana

“…With the recent technological innovation, unmanned aerial vehicles, known as drones, have found numerous applications including package and parcel delivery for…”
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Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion by Kim, Gitae, Ong, Yew Soon, Cheong, Taesu, Tan, Puay Siew

“…This paper proposes a dynamic vehicle routing problem (DVRP) model with nonstationary stochastic travel times under traffic congestion. Depending on the…”
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Tools for promoting industrial symbiosis: A systematic review by Yeo, Zhiquan, Masi, Donato, Low, Jonathan Sze Choong, Ng, Yen Ting, Tan, Puay Siew, Barnes, Stuart

“…Industrial symbiosis (IS) employs a cross‐organizational perspective to seek synergistic pairings of one company's waste output to another company's input,…”
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City Vehicle Routing Problem (City VRP): A Review by Gitae Kim, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan, Zhang, Nengsheng Allan

“…Lately, the Vehicle Routing Problem (VRP) in the city, known as City VRP, has gained popularity with its importance in city logistics. Similar to city…”
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Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning by Zhang, Rongkai, Zhang, Cong, Cao, Zhiguang, Song, Wen, Tan, Puay Siew, Zhang, Jie, Wen, Bihan, Dauwels, Justin

“…We propose a manager-worker framework (the implementation of our model is publically available at: https://github.com/zcaicaros/manager-worker-mtsptwr) based…”
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A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm by Siwei Jiang, Jie Zhang, Yew-Soon Ong, Zhang, Allan N., Puay Siew Tan

“…To find diversified solutions converging to true Pareto fronts (PFs), hypervolume (HV) indicator-based algorithms have been established as effective approaches…”
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Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming by Handoko, Stephanus Daniel, Gupta, Abhishek, Heng Chen Kim, Lau Hoong Chuin, Ong Yew Soon, Tan Puay Siew

“…Profitable tour problem (PTP) belongs to the class of vehicle routing problem (VRP) with profits seeking to maximize the difference between the total collected…”
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Pareto optimization with small data by learning across common objective spaces by Tan, Chin Sheng, Gupta, Abhishek, Ong, Yew-Soon, Pratama, Mahardhika, Tan, Puay Siew, Lam, Siew Kei

“…In multi-objective optimization, it becomes prohibitively difficult to cover the Pareto front (PF) as the number of points scales exponentially with the…”
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Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery by Toyoda, Kentaroh, Gan Kai Ying, Rachel, Zhang, Allan NengSheng, Siew, Tan Puay

“…Process mining discovers and analyzes a process model from historical event logs. The prior art methods use the key attributes of case-id, activity, and…”
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Complex and Intelligent Systems in Manufacturing by Siwei Jiang, Chi Xu, Gupta, Abhishek, Liang Feng, Yew-Soon Ong, Zhang, Allan Nengsheng, Puay Siew Tan

“…The scientific landscape of manufacturing systems continues to change hand in hand with the evolution of the field itself. It is anticipated that new…”
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Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art by Xianshun Chen, Yew-Soon Ong, Puay-Siew Tan, NengSheng Zhang, Zhengping Li

“…Due to the complex nature and numerous interacting factors that contributes to the increased vulnerability of supply chains, traditional methods have been…”
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Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery by Toyoda, Kentaroh, Ying, Rachel Gan Kai, Zhang, Allan NengSheng, Siew, Tan Puay

“…Process mining discovers and analyzes a process model from historical event logs. The prior art methods use the key attributes of case-id, activity, and…”
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An Agent-Based Simulation to Quantify and Analyze Bullwhip Effects in Supply Chains by Chinh, Nguyen Quoc, Li Zhengping, Siew, Tan Puay, Chen Xianshun, Soon, Ong Yew

“…The paper presents an agent-based simulation to model supply chains (SCs) and evaluate the bullwhip effect, an important index to measure the stability of SCs,…”
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Linearized domain adaptation in evolutionary multitasking by Bali, Kavitesh Kumar, Gupta, Abhishek, Liang Feng, Yew Soon Ong, Tan Puay Siew

“…Recent analytical studies have revealed that in spite of promising success in problem solving, the performance of evolutionary multitasking deteriorates with…”
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A Review of Complex Systems Technologies for Supply Chain Risk Management by Li Zhengping, Siew, Tan Puay, Gabriel, Yee Qi Ming, Chinh, Nguyen Quoc, Ong Yew Soon, Chen Xianshun

“…Supply chain disruptions and risks have been garnering more attention in recent years owing to the occurrence of several high-profile disruptions and many…”
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Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP by Yuan Yuan, Yew-Soon Ong, Gupta, Abhishek, Puay Siew Tan, Hua Xu

“…Evolutionary computation (EC) has gained increasing popularity in dealing with permutation-based combinatorial optimization problems (PCOPs). Traditionally, EC…”
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