| A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling K Nitisiri, M Gen, H Ohwada Computers & Industrial Engineering 130, 381-394, 2019 | 55 | 2019 |
| Hybrid particle swarm optimization and neighborhood strategy search for scheduling machines and equipment and routing of tractors in sugarcane field preparation K Worasan, K Sethanan, R Pitakaso, K Moonsri, K Nitisiri Computers and electronics in agriculture 178, 105733, 2020 | 28 | 2020 |
| Hybrid differential evolution and particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing problems V Punyakum, K Sethanan, K Nitisiri, R Pitakaso, M Gen Computers and Electronics in Agriculture 197, 106929, 2022 | 17 | 2022 |
| A gap study between employers’ expectations in thailand and current competence of master’s degree students in industrial engineering under industry 4.0 S Pattanapairoj, K Nitisiri, K Sethanan Production Engineering Archives 27 (1), 50-57, 2021 | 15 | 2021 |
| A hybrid and self-adaptive differential evolution algorithm for the multi-depot vehicle routing problem in egg distribution K Moonsri, K Sethanan, K Worasan, K Nitisiri Applied Sciences 12 (1), 35, 2021 | 14 | 2021 |
| Integrating scheduling with optimal sublot for parallel machine with job splitting and dependent setup times K Sethanan, W Wisittipanich, N Wisittipanit, K Nitisiri, K Moonsri Computers & Industrial Engineering 137, 106095, 2019 | 14 | 2019 |
| Hybrid differential evolution algorithm and adaptive large neighborhood search to solve parallel machine scheduling to minimize energy consumption in consideration of machine … R Nanthapodej, CH Liu, K Nitisiri, S Pattanapairoj Sustainability 13 (10), 5470, 2021 | 10 | 2021 |
| Variable neighborhood strategy adaptive search to solve parallel-machine scheduling to minimize energy consumption while considering job priority and control makespan R Nanthapodej, CH Liu, K Nitisiri, S Pattanapairoj Applied Sciences 11 (11), 5311, 2021 | 9 | 2021 |
| Hybrid particle swarm and whale optimization algorithm for multi-visit and multi-period dynamic workforce scheduling and routing problems V Punyakum, K Sethanan, K Nitisiri, R Pitakaso Mathematics 10 (19), 3663, 2022 | 4 | 2022 |
| Edge boundary variable neighborhood strategy adaptive search for a vegetable crop land allocation problem K Nitisiri, K Sethanan, R Pitakaso, M Gen International Journal of Management Science and Engineering Management 17 (3 …, 2022 | 1 | 2022 |
| Multiple-Criteria Decision Making Approach for Pickup Truck Supplier Selection W Phiwkhao, K Nitisiri, K Sethanan, R Nanthapodej, S Pattanapairoj Engineering Access 7 (1), 43-49, 2021 | 1 | 2021 |
| 特集研究論文 Hybrid Genetic Algorithm with Auto-tuning Parameters and K-mean Clustering Strategy for Multimodal Optimization K Nitisiri, H Ohwada, M Gen 日本設備管理学会誌= Journal of the Society of Plant Engineers Japan/日本設備 …, 2019 | 1 | 2019 |
| A parallel multi-objective genetic algorithm with learning based mutation for non-periodic railway scheduling K Nitisiri, H Ohwada, M Gen Proceedings of International Conference on Computers and Industrial …, 2018 | 1 | 2018 |
| A self-adaptive differential evolution for the technician routing and scheduling problem V Punyakum, K Nitisiri, K Sethanan, D Singpommat Engineering and Applied Science Research 50 (3), 262-269, 2023 | | 2023 |
| Poultry house climate control using a Fuzzy Logic Controller N Chinsuwan, K Nitisiri, N Pinitkarn, T Radpukdee, C Sookkumnerd วารสาร วิศวกรรม ฟาร์ม และ เทคโนโลยี การ ควบคุม อัตโนมัติ 6 (2), 137-146, 2020 | | 2020 |
| Study on parallel hybrid genetic algorithm and machine learning on GPU and applications to railway scheduling N Krisanarach | | 2020 |
| Advances in Hybrid Genetic Algorithms with Learning and GPU for Scheduling Problems: Brief Survey and Case Study M Gen, JR Cheng, K Nitisiri, H Ohwada Proceedings of the Fourteenth International Conference on Management Science …, 2020 | | 2020 |
| A hybrid genetic algorithm for railway rescheduling: Case study of high-speed train in Japan 玄光男， 大和田勇人 日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集 第 35 回ファジィシ …, 2019 | | 2019 |
| Hybrid genetic algorithm for railway train scheduling K Nitisiri, M Gen, H Ohwada 47th International Conference on Computers and Industrial Engineering: How …, 2017 | | 2017 |
Kanchana Sethanan- Professor, Department of Industrial Engineering Department, Khon Kaen University, 40002, Thailand - Head of Research unit on System Modeling for Industry, Faculty of Engineering Khon Kaen UniversityVerified email at kku.ac.th
