黃科瑋

黃科瑋 教授

資通組
分機
15531、15572
研究室
建工校區-電機館 711室
Email
elone.huang@nkust.edu.tw

演化式計算 (Evolutionary Computation)

資料探勘 (Data Mining)

最佳化原理與應用 (Mathematical Optimization and Application)

影像處理 (Image Processing)

國立成功大學電機博士 (2015)

靜宜大學資訊傳播與工程學系助理教授

國立高雄大學電機工程學系兼任助理教授

國立成功大學心理系博士後研究員

五洲國際專利商標事務所專利工程師

高雄榮民總醫院資訊室副工程師

國立成功大學醫學院附設醫院家醫科網管

1. 混合粒子群與引力搜尋演算法於最佳化問題與實務應用之研究 106-2218-E-992 -303 -, 科技部計畫, 主持人

2. 智慧醫療:智慧型醫療診斷輔助系統之設計與評估 107-2218-E-992 -303 -, 科技部計畫, 主持人

<期刊發表>

1. Ko-Wei Huang, Ze-Xue Wu, Hsing-Wei Peng, Ming-Chia Tsai, Yu-Chieh Hung, and Yu-Chin Lu, "Memetic Particle Gravitation Optimization Algorithm for Solving Clustering Problems", IEEE Access,2019.(SCI), (*Corresponding Author)

2. Ko-Wei Huang, Abba Suganda Girsang, Ze-Xue Wu, and Yu-Wei Chuang “A Hybrid Crow Search Algorithm for Solving Permutation Flow Shop Scheduling Problems,” Applied Sciences, 2019. (SCI, ISSN: 2076-3417)(*Corresponding Author)

3. Ko-Wei Huang and Ze-Xue Wu, “CPO: A Crow Particle Optimization Algorithm,” International Journal of Computational Intelligence Systems, 2019. (SCI, ISSN: 1875-6891) (*Corresponding Author)

4. Abba Suganda Girsang, Andi Setiadi Manalu, and Ko-Wei Huang,“Feature Selection for Musical Genre Classification Using a Genetic Algorithm,” Advances in Science, Technology and Engineering Systems Journal, 2019. (SCOPUS/EI) (*Corresponding Author)

5. Abba Suganda Girsang, Tjeng Wawan Cenggoro, and Ko-Wei Huang, ” Fast Ant Colony Optimization for Clustering”, Indonesian Journal of Electrical Engineering and Computer Science, 2018. (EI), (*Corresponding author).

6. Shih-Hsiung Lee, Ko-Wei Huang, and Chu-Sing Yang, ”TBAS: Token-based authorization service architecture in IoT scenarios”, International Journal of Distributed Sensor Networks, 2017. (SCI)

7. Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “A memetic gravitation search algorithm for solving the DNA fragment assembly problems”, Journal of Intelligent and Fuzzy Systems, 2016. (SCI).

8. Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “PSGO: Particle Swarm Gravitation Optimization Algorithm”, Journal of Intelligent and Fuzzy Systems, 2015. (SCI).

9. Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “A memetic particle swarm optimization algorithm for solving the DNA fragment assembly problem,” Neural Computing and Applications, 2014. (SCI)

10. Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, and Ming-Chao Chiang, “A fast particle swarm optimization for clustering,” Soft Computing, 2014. (SCI).

11. Ko-Wei Huang, Chu-Sing Yang, Chun-Wei Tsai, “A Two-Phase Hybrid ParticleSwarm Optimization Algorithm for Solving Permutation Flow-Shop SchedulingProblem,” International Journal of Computer Applications, 2012.

12. Chun-Wei Tsai, Ko-Wei Huang, Heng-Yao Hsu, Ming-Chao Chiang, Chu-Sing Yang, “A novel topic selection algorithm based on word distribution”, International Journal of Innovative Computing, Information and Control, 2010. (SCI/EI)

13. Wen-Yang Lin, Ko-Wei Huang, and Chin-Ang Wu, “MCFPTree: An FP-tree- based algorithm for multi-constraint patterns discovery.” International Journal of Business Intelligence and Data Mining, 2010. (EI)

<會議發表>

1. Ze-Xue Wu, Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang. “A Memetic Fuzzy Whale Optimization Algorithm for Data Clustering”. CEC 2019, IEEE Congress on Evolutionary Computation.

2. Ko-Wei Huang, Ze-Xue Wu, Hsing-Wei Peng, Ming-Chia Tsai, Yu-Chieh Hung, and Yu-Chin Lu, “A Memetic Particle Gravitation Optimization Algorithm for Solving Image Segmentation”. IEEE International Conference on Applied System Innovation, Japan, 2018. [Best paper Award], (EI-index).

3. Ko-Wei Huang, Abba Suganda Girsang, and Ze-Xue Wu, “Memetic Particle Gravitation Optimization Algorithm for Solving Data Clustering”. International Conference on Engineering, Science and Applications, Japan, 2018.

4. Pang-Wei Tsai, Wai-Hong Fong, Ko-Wei Huang, Mon-Yen Luo, and Chu-Sing Yang, “Design and Development of Virtual Nodes in the Network Testbed for Emulation”. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, Canada, 2015. (EI-index)

5. Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “A Memetic Gravitation Search Algorithm for Solving Data Clustering,” IEEE International Conference on Congress on Evolutionary Computation, Sendai, Japan, 2015. (EI-index).

6. Jui-Le Chen, Ko-Wei Huang and Chu-Sing Yang, “A prototype generation with same proportion method for Nearest Neighborhood Classification,” IEEE International Conference on Consumer Electronics, Taipei, Taiwan, 2015.

7. Yi-Chuan Chen, Ko-Wei Huang, Szu-Chang Wang, Syau-Wen Huang, Chyou-Yan Lin, and Ming-Quinn Chen, “Implement a Critial Laboratory Results Management System to Improve CRM,” Joint Conference on Medical Informatics in Taiwan 2013, Taipei, Taiwan, 2013.

8. Zheng-Lun Li, Ko-Wei Huang, Szu-Chang Wang, Syau-Wen Huang, Chyou-Yan Lin, and Ming-Quinn Chen, “A Solution to Improve the Efficiency of Health Examination Services,” Joint Conference on Medical Informatics in Taiwan 2013, Taipei, Taiwan, 2013.

9. Ko-Wei Huang, Jui-Le Chen, and Chu-Sing Yang, “A Hybrid PSO-Based Algorithm for Solving DNA Fragment Assembly Problem,” International Conference on Innovations in Bio-Inspired Computing and Applications, Kaohsiung, Taiwan, 2012. [Best Paper Award], (EI-index)

10. Ko-Wei Huang, Wei-Chung Cheng, Chun-Wei Tsai, Chu-Sing Yang, “Design and Implementation of an Ontology-based Intelligent Project Management System,” IEEE International Conference on Advanced Information Networking and Applications, Fukuoka, Japan, 2012. (EI-index)

11. Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, and Ming-Chao Chiang, “An Efficient PSO-based Clustering Algorithm“, International Joint Conference on Knowledge Discovery, KDIR Valencia, Spain, 2010.

12. Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, and Ming-Chao Chiang, “A Fast Tree-Based Search Algorithm for Cluster Search Engine“, IEEE International Conference on Systems, Man and Cybernetics, San Antonio, USA, 2010. (EI-index)

13. Wen-Yang Lin, Ko-Wei Huang, He-Yi Li, and Chang-Long Jiang, “Mining frequent patterns with item, aggregation, and cardinality constraints”. In 3rd International Conference Innovative Computing Information and Control, Dalian, China, 2008.

<技術報告及其他>