Multi-objective wireless sensor network deployment problem with cooperative distance-based sensing coverage，MOBILE NETWORKS & APPLICATIONS SCI 2021 王聖權(Wang, Sheng-Chuan)、H. C.W. Hsiao、Chun-Cheng Lin(Chun-Cheng Lin)*、H.-H. Chin
Using NSGA-II to solve multi-objective competitive location problem with cooperative coverage for distance-based attractiveness，JOURNAL OF INTELLIGENT & FUZZY SYSTEMS SCI 2021 王聖權(Wang, Sheng-Chuan)*、陳大正(Ta-Cheng Chen)
Using Hybrid Evolutionary Algorithm for Solving Signal Transmission Station Location and Allocation Problem with Different Regional Communication Quality Restriction，International Journal of Engineering and Technology Innovation, vol.10 no.3 pp.165-178 EI 2020 陳大正(Ta-Cheng Chen)*、王聖權(Wang, Sheng-Chuan)、Wen-Cheng Tseng
Using two-phase evolutionary computation approach for nonlinear constrained signal detectors allocation problems，JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.36 no.2 pp.1301-1310 SCI 2019 陳大正(Ta-Cheng Chen)*、王聖權(Wang, Sheng-Chuan)、吳純慧(Chun-Hui Wu)、Ke-Wei Huang
Multi-Objective Competitive Location Problem with Distance-Based Attractiveness for Two Facilities，Computers and Electrical Engineering, vol.71 pp.237-250 SCI 2018 王聖權(Sheng-Chuan Wang)*、林春成(Chun-Cheng Lin)、陳大正(Ta-Cheng Chen)、蕭震緯(Han C.W. Hsiao)
Multi-objective competitive location problem with distance-based attractiveness and its best non-dominated solution，APPLIED MATHEMATICAL MODELLING, vol.47 pp.785-795 SCI 2017 王聖權(Sheng-Chuan Wang)*、陳大正(Ta-Cheng Chen)
The Impact of Quantitative Easing Monetary Policy on American Corporate Performance，International Journal of Economic Research, vol.12 no.5 pp.2043-2056 Other 2015 張眾卓(Chong-Chuo Chang)*、王聖權(Sheng-Chuan Wang)
Electricity Transmission Network Optimization Model of Supply and Demand- The Case in Taiwan Electricity Transmission System，Journal of Information & Optimization Sciences, vol.27 no.2 pp.317-334 Other 2006 王聖權(Sheng-Chuan Wang)*
Use of Evolutionary Algorithm for Solving Multi-Objective Competitive Location Problem with Cooperative-Covering for Distance-Based Attractiveness - IMETI 2019 Taiwan 2019.11 王聖權(Wang, Sheng-Chuan)、陳大正(Ta-Cheng Chen)
Multi-objective Competitive Location Problem with Distance- Based Attractiveness - International Conference on Computing and Precision and Engineering Taiwan 2015.11 王聖權(Sheng-Chuan Wang)
Bi-Objective Competitive Location Problem with Distance- Based Attractiveness - THE SEVENTH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ECONOMY AND GLOBAL MANAGEMENT Taiwan 2011.11 王聖權(Sheng-Chuan Wang)
Bi-Objective Competitive Location Problem with Distance-Based Attractiveness for Multiple Facilities - The 6th International Congress on Logistics and SCM Systems (ICLS 2011) National Kaohsiung University of Applied Sciences 2011.03
Two Facility Selection Location Problem with Distance Based Attractiveness - 2010 商業管理研討會 台北科技大學 2010.06
Distance Based Bi-Objective Competitive Location Problem with Two Facilities - The 10th Asia Pacific Industrial Engineering and Management System Kitakyushu, Japan. 2009.12
Coverage Level Formulation in Facility Location Covering Problem - The 9th Asia Pacific Industrial Engineering and Management System Indonesia 2008.12
Review of Covering Model in Facility Location - Proceeding of 2007 Conference on Asia Pacific Industrial Engineering and Chinese Institute of Indust Kaohsiung, Taiwan 2007.12
Multiobjective Fixed Charge Maximal Covering Location Problem of Partial and Backup Coverage for Demand Points - Proceeding of 2007 Conference on Management and Decision Taiwan 2007.05
Multiobjective Fixed Charge Maximal Covering Location Problem of Partial and Backup Coverage - Proceeding of 2006 Conference on Chinese Institute of Industrial Engineers Taiwan 2006.12
Maximal Covering Location Problem of Partial and Backup Coverage with Fixed Costs - Proceeding of 2006 Conference on Technology and Management Taiwan 2006.11
行銷管理 86U00229A (大學日間部 )【第113學年第1學期：A班】<br>Let students can realize the concept of marketing management in each field.
統計學(一) 86U00067B (大學日間部 )【第113學年第1學期：B班】<br>完成此課程後，學生應該可以： 1.1 說明敘述統計與推論統計之原理與應用 1.2 解釋機率及機率分配 1.3 運用機率分配計算各類情境下之機率 1.4 分析及說明常用機率分配之意義與應用 1.5 比較母體分配及樣本抽樣分配
統計學(一) 86U00067A (大學日間部 )【第113學年第1學期：A班】<br>完成此課程後，學生應該可以： 1.1 說明敘述統計與推論統計之原理與應用 1.2 解釋機率及機率分配 1.3 運用機率分配計算各類情境下之機率 1.4 分析及說明常用機率分配之意義與應用 1.5 比較母體分配及樣本抽樣分配