{"id":193,"date":"2019-10-01T02:20:35","date_gmt":"2019-10-01T02:20:35","guid":{"rendered":"https:\/\/cde.nus.edu.sg\/c4ngp\/?page_id=193"},"modified":"2022-09-28T03:22:53","modified_gmt":"2022-09-28T03:22:53","slug":"publications2018","status":"publish","type":"page","link":"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2018\/","title":{"rendered":"2018"},"content":{"rendered":"\n\n\t\t\t\t\t<ul id=\"menu-publications\"><li id=\"menu-item-13672\"><a href=\"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2019\/\">Publications<\/a>\n<ul>\n\t<li id=\"menu-item-13667\"><a href=\"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2019\/\">2019<\/a><\/li>\n\t<li id=\"menu-item-13668\"><a href=\"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2018\/\">2018<\/a><\/li>\n\t<li id=\"menu-item-13669\"><a href=\"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2017\/\">2017<\/a><\/li>\n\t<li id=\"menu-item-13670\"><a href=\"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2016\/\">2016<\/a><\/li>\n\t<li id=\"menu-item-13671\"><a href=\"https:\/\/cde.nus.edu.sg\/c4ngp\/publications\/publications2015\/\">2015<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\n\t<h2>\n\t\t2018\n\t<\/h2>\n\t<table width=\"100%\">\n<tbody>\n<tr>\n<td>Year<\/td>\n<td>Publisher<\/td>\n<td>Title<\/td>\n<td>Authors<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>ScienceDirect<\/td>\n<td><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0968090X18304108\">Enhancing transportation systems via deep learning: A survey<\/a><\/td>\n<td>Yuan Wang, Dongxiang Zhang, Ying Liu, Bo Dai,<br \/>\nLoo Hay Lee<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>ResearchGate<\/td>\n<td><a href=\"https:\/\/www.researchgate.net\/publication\/329547897_Efficient_Simulation_Sampling_Allocation_Using_Multi-Fidelity_Models\">Efficient Simulation Sampling Allocation Using Multi-Fidelity Models<\/a><\/td>\n<td>Yijie Peng, Jie Xu, Loo Hay Lee, Jianqiang Hu,<br \/>\nChun-Hung Chen<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>Winter Simulation Conference<\/td>\n<td><a href=\"https:\/\/www.informs-sim.org\/wsc18papers\/includes\/files\/377.pdf\">Simulation modelling of AGV transponder placement<\/a><\/td>\n<td>Loo Hay Lee, Ek Peng Chew, Haobin Li,<br \/>\nChenhao Zhou, Yanchunni Guo<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>Winter Simulation Conference<\/td>\n<td><a href=\"https:\/\/www.informs-sim.org\/wsc18papers\/includes\/files\/255.pdf\">Challenges and opportunities in integration of simulation and optimization in maritime logistics<\/a><\/td>\n<td>Chenhao Zhou, Haobin Li, Weizhi Liu,<br \/>\nAloisius Stephen, Loo Hay Lee, Ek Peng Chew<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>ScienceDirect<\/td>\n<td><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1366554517311870\">Joint design of fleet size, hub locations, and hub capacities for third-party logistics networks with road congestion constraints<\/a><\/td>\n<td>Lu Hu, Juan Xiu Zhu, Yuan Wang, Loo Hay Lee<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>ScienceDirect<\/td>\n<td><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0952197618301362\">A systematic model of stable multilateral automated negotiation in e-market environment<\/a><\/td>\n<td>Taiguang Gao, Min Huang, Qing Wang, Mingqiang Yin, Wai Ki Ching, Loo Hay Lee, Xingwei Wang<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>IEEE<\/td>\n<td><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8560590\">Single Direction Traffic Rule for GRID System &#8211; An Innovative Automated Material Handling System<\/a><\/td>\n<td>Chenhao Zhou, Haobin Li, Loo Hay Lee, Ek Peng Chew<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>Taylor &amp; Francis<\/td>\n<td><a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/00207543.2017.1421782?journalCode=tprs20\">Analysis on high throughput layout of container yards<\/a><\/td>\n<td>Byung Kwon Lee, Loo Hay Lee, Ek Peng Chew<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>SpringerLink<\/td>\n<td><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00500-017-2609-4\">Adjust weight vectors in MOEA\/D for bi-objective optimization problems with discontinuous Pareto fronts<\/a><\/td>\n<td>Chunjiang Zhang, Kay Chen Tan, Loo Hay Lee,<br \/>\nLiang Gao<\/td>\n<\/tr>\n<tr>\n<td>2018<\/td>\n<td>Informs<\/td>\n<td><a href=\"https:\/\/pubsonline.informs.org\/doi\/10.1287\/trsc.2017.0815\">Frame Trolley Dispatching Algorithm for the Frame Bridge Based Automated Container Terminal<\/a><\/td>\n<td>Xin Jia Jiang, Yanhua Xu, Chenhao Zhou,<br \/>\nEk Peng Chew, Loo Hay Lee<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n","protected":false},"excerpt":{"rendered":"<p>Publications 2019 2018 2017 2016 2015 2018 Year Publisher Title Authors 2018 ScienceDirect Enhancing transportation systems via deep learning: A survey Yuan Wang, Dongxiang Zhang, Ying Liu, Bo Dai, Loo Hay Lee 2018 ResearchGate Efficient Simulation Sampling Allocation Using Multi-Fidelity Models Yijie Peng, Jie Xu, Loo Hay Lee, Jianqiang Hu, Chun-Hung Chen 2018 Winter Simulation [&hellip;]<\/p>\n","protected":false},"author":59,"featured_media":0,"parent":30,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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