Sriputhorn, K., Pitakaso, R., Matitopanum, S., Luesak, P., Khonjun, S., Kraiklang, R., Chueadee, C.,
Gonwirat, S. (2025). Revolutionizing climbing perch disease management: AI-Driven solutions
for sustainable aquaculture. Smart Agricultural Technology, 10, March 2025, 100746.
Pitakaso, R., Golinska-Dawson, P., Luesak, P., Srichok, T., Khonjun, S. (2025). Embracing Open
Innovation in Hospitality Management: Leveraging AI-Driven Dynamic Scheduling Systems
for Complex Resource Optimization and Enhanced Guest Satisfaction. Journal of Open
Innovation: Technology, Market, and Complexity, 30 January 2025, 100487.
Pitakaso, R., Sethanan, K., Chamnanlor, C., Fan, Shu Kai S., Tseng, Minglang., Lim, Ming K. (2025).
Optimizing floating crane operations for efficient bulk product transshipments on inland
Waterways. International Journal of Production Economics, 279, January 2025, 109469.
Kaewta, C., Pitakaso, R., Khonjun, S., Srichok, T., Luesak, P., Gonwirat, S., Enkvetchakul, P.,
Jutagate, A., Jutagate, T. (2024). Application of AMIS-optimized vision transformer in
identifying disease in Nile Tilapia. Computers and Electronics in Agriculture, 227, Part 2,
December 2024, 109676.
Jutagate, A., Pitakaso, R., Khonjun, S., Srichok, T., Kaewta, C., Luesak, P., Gonwirat, S.,
Enkvetchakul, P., Jutagate, T. (2024). Adaptive artificial multiple intelligence fusion system
(A-AMIFS) for enhanced disease detection in Nile Tilapia. Aquaculture Reports, 39,
December 2024, 102418.
Sriprateep, K., Khonjun, S., Pitakaso, R., Srichok, T., Sala-Ngam, S., Srithep, Y., Gonwirat, S.,
Luesak, P., Matitopanum, S., Chueadee, C., n Kraiklang, R., Kosacka-Olejnik, Monika. (2024).
Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf
diseases using deep learning ensembles. Smart Agricultural Technology, 9, December 2024,
100535.
Pitakaso, R., Sethanan, K., Tan, K.H., Kumar, A. (2024). A decision support system based on
an artificial multiple intelligence system for vegetable crop land allocation problem.
Annals of Operations Research, 342, 621-656.
Pitakaso, P., Khonjun, S., Gonwirat, S., Luesak, P., Jirasirilerd, G., Boonmee, C., Dinkoksung, S.,
Nanthasamroeng, N., Srichok, T. (2024). Optimizing safe and sustainable public transit for
wellness tourism: Southeast Asian case studies. Journal of Cleaner Production, 475,
10 October 2024, 143656.
Pitakaso, R., Sethanan, K., Chien, Chenfu., Srichok, T., Khonjun, S., Nanthasamroeng, N.,
Gonwirat, S. (2024). Integrating reinforcement learning and metaheuristics for safe and
sustainable health tourist trip design problem. Applied Soft Computing, 161, August 2024,
111719.
Sriprateep, K., Pitakaso, R., Khonjun, S., Srichok, T., Luesak, P., Gonwirat, S., Kaewta, C., Kosacka-
Olejnik, M., Enkvetchakul, P. (2024). Multi-Objective Optimization of Resilient, Sustainable,
and Safem Urban Bus Routes for Tourism Promotion Using a Hybrid Reinforcement Learning
Algorithm. Mathematics, 12(14), 2283.
Pitakaso, R., Srichok, T., Khonjun, S., Golinska-Dawson, P., Sethanan, K., Nanthasamroeng, N.,
Gonwirat, S., Luesak, P., Boonmee, C. (2024). Optimization-driven artificial intelligence-
enhanced municipal waste classification system for disaster waste management.
Engineering Applications of Artificial Intelligence, 133, Part F, July 2024, 108614.
Pitakaso, R., Srichok, T., Khonjun, S., Golinska-Dawson, P., Gonwirat, S., Nanthasamroeng, N.,
Boonmee, C., Jirasirilerd, G., Luesak, P. (2024). Artificial Intelligence in enhancing sustainable
practices for infectious municipal waste classification. Waste Management, 183,
30 June 2024, 87-100.
Ransikarbum, K., Pitakaso, R. (2024). Multi-objective optimization design of sustainable biofuel
network with integrated fuzzy analytic hierarchy process. Expert Systems with Applications,
240, 15 April 2024, 122586.
Pitakaso, R., Srichok, T., Khonjun, S., Gonwirat, S., Nanthasamroeng, N., Boonmee, C. (2024).
Multi-objective sustainability tourist trip design: An innovative approach for balancing
tourists' preferences with key sustainability considerations. Journal of Cleaner Production,
449, 10 April 2024, 141486.
Pitakaso, R., Sethanan, K., Worasan, K., Golinska-Dawson, P. (2024). Utilization of data and
information flows for enhancing a chambermaid scheduling decision making in a smart
hospitality supply chain. Annals of Operations Research, 18 March 2024, 1-26.
Buakum, B., Kosacka-Olejnik M., Pitakaso, R., Srichok, T., Khonjun, S., Luesak, P., Nanthasamroeng, N.,
Gonwirat, S. (2024). Two-Stage Ensemble Deep Learning Model for Precise Leaf Abnormality
Detection in Centella asiatica. AgriEngineering, 6(1), 620-644.
Pitakaso, R., Sethanan, K., Kumar, A., Hua Tan, K., Nanthasamroeng, N. (2024). An application of
artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous
resources. Annals of Operations Research, 27 February 2024, 1-50.
Sriprateep, K., Sala-Ngam, S., Srithep, Y., Khonjun, S., Golinska-Dawson, P., Srichok, T.,
Nanthasamroeng, N., Pitakaso, R., Gonwirat, S., Luesak, P. (2024). Plant production yield
optimization and cost-effectiveness using an innovative artificial multiple intelligence
system. Annals of Operations Research, 21 February 2024, 1-36.
Sriprateep, K., Khonjun, S., Golinska-Dawson, P., Pitakaso, R., Luesak, P., Srichok, T., Chiaranai, S.,
Gonwirat, S., Buakum, B. (2024). Automated Classification of Agricultural Species through
Parallel Artificial Multiple Intelligence System–Ensemble Deep Learning. Mathematics,
12(2), 351.
Sriprateep, K., Sala-Ngamand, S., Khonjun, S., Tseng, M., Srichok, T., Nanthasamroeng, N., Pitakaso, R.,
Butploy, N. (2024). Heterogeneous ensemble machine learning to predict the asiaticoside
concentration in centella asiatica urban. Intelligent Systems with Applications. 21(2024),
200319.
Sethanan, K., Pitakaso, R., Srichok, T., Khonjun, S., Thannipat, P., Wanram, S., Boonmee, C.,
Gonwirat, S., Enkvetchakul, P., Kaewta, C., Nanthasamroeng, N. (2023). Double AMIS-
ensemble deep learning for skin cancer classification. Expert Systems with Applications, 234,
30 December 2023, 121047.
Nitisiri, K., Sethanan, K., Pitakaso, R., Gen, M. (2023). Edge boundary variable neighborhood strategy
adaptive search for a vegetable crop land allocation problem. Sustainable Logistics Systems
Using AI-based Meta-Heuristics Approaches, 17-25.
Thumrongvut, P., Sethanan, K., Pitakaso, R., Jamrus, T., Golinska-Dawson, P. (2023). Application of
Industry 3.5 approach for planning of more sustainable supply chain operations for tourism
service providers. International journal of logistics research and applications, 26(11),
1578-1601.
Pitakaso, R., Khonjun, S., Nanthasamroeng, N., Boonmee, C., Kaewta, C., Enkvetchakul, P., Gonwirat, S.,
Chokanat, P., Jirasirilerd, G., Srichok, T. (2023). Gamification design using tourist-generated
pictures to enhance visitor engagement at intercity tourist sites. Annals of Operations Research,
19 September 2023, 1-33.
Matitopanum, S., Luesak, P., Chiaranai, S., Pitakaso, R., Srichok, T., Sirirak, W., Jirasirilerd, G. (2023).
A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble
Machine Learning Approach. Intelligent Systems with Applications, 19, September 2023,
200259.
Sethanan, K., Pitakaso, R., Srichok, T., Khonjun, S., Weerayuth, N., Prasitpuriprecha, C., Preeprem, T.,
Suvarnakuta Jantama, S., Gonwirat, S., Enkvetchakul, P., Kaewta, C., Nanthasamroeng, N.
(2023). Computer-aided diagnosis using embedded ensemble deep learning for multiclass
drug-resistant tuberculosis classification. Frontiers in Medicine, 10, 1122222.
Worasan, K., Sethanan, K., Pitakaso, R., Jamrus, T., Moonsri, K., Golinska-Dawson, P. (2023).
A hybridization of PSO and VNS to solve the machinery allocation and scheduling problem
under a machinery sharing arrangement. Intelligent Systems with Applications, 18, May 2023,
200206.
Pitakaso, R., Sethanan, K., Jirasirilerd, G., Golinska-Dawson, P. (2023). A novel variable neighborhood
strategy adaptive search for SALBP-2 problem with a limit on the number of machine’s types.
Annals of Operations Research, 324(1), 1501-1525.
Homchalee, R., Pitakaso, R., Kumphon, O. (2023). Minimizing energy usage and makespan of
elevator operation in rush hour using multi-objective variable neighborhood strategy adaptive
search with a mobile application. Mathematics, 11(8), 1948.
Srivoramasa, R., Nanthasamroeng, N., Pitakaso, R., Srichok, T., Khonjun, S., Sirirak, W., Theeraviriya, C.
(2023). Community Agricultural Reservoir Construction and Water Supply Network Design in
Ubon Ratchathani, Thailand, Using Adjusted Variable Neighborhood Strategy Adaptive Search.
Water, 15(3), 591.
Chiaranai, S., Pitakaso, R., Sethanan, K., Kosacka-Olejnik, M., Srichok, T., Chokanat, P. (2023).
Ensemble deep learning ultimate tensile strength classification model for weld seam of
asymmetric friction stir welding. Processes, 11(2), 434.
Luesak, P., Sirirak, W., Pitakaso, R., Srichok, T., Khonjun, S., Sirisan, S., Gonwirat, S. (2023). Location
routing problem solving: A case study Thailand Royal Project. Engineering & Applied Science
Research, 50(1), 10-18.
Pranet, K., Sangkaphet, P., Pitakaso, R., Nanthasamroeng, N., Srichok, T., Sethanan, K., Pornprasert, P.
(2023). Solving Multi-Echelon Location Allocation Problem Using Modified Differential
Evolution Algorithm: Case Study of Agricultural Products Warehouse in Greater Mekong
Subregion. Smart and Sustainable Supply Chain and Logistics—Challenges, Methods and
Best Practices, 2, 145-162.
Srivoramas, R., Sangkaphet, P., Kaewta, C., Pitakaso, R., Sethanan, K., Nanthasamroeng, N. (2023).
Solving a Location-Allocation-Sizing Problem Using Differential Evolution Algorithm: A Case
Study of Agricultural Water Resources in North-Eastern Thailand. Smart and Sustainable
Supply Chain and Logistics—Challenges, Methods and Best Practices, 2, 113-127.
Matitopanum, S., Pitakaso, R., Sethanan, K., Srichok, T., Chokanat, P. (2023). Prediction of the
ultimate tensile strength (UTS) of asymmetric friction stir welding using ensemble machine
learning methods. Processes, 11(2), 391.
Luesak, P., Pitakaso, R., Sethanan, K., Golinska-Dawson, P., Srichok, T., Chokanat, P. (2023).
Multi-objective modified differential evolution methods for the optimal parameters of
aluminum friction stir welding processes of AA6061-T6 and AA5083-H112. Metals, 13(2),
252.
Dinkoksung, S., Pitakaso, R., Khonjun, S., Srichok, T., Nanthasamroeng, N. (2023). Modeling the
medical and wellness tourism supply chain for enhanced profitability: An open
innovation approach. Journal of Open Innovation: Technology, Market, and Complexity,
9(2023), 100137, 1-15.
Pitakaso, R., Nanthasamroeng, N., Gonwirat, S., Khonjun, S., Kaewta, C., Srichok, T., Dinkoksung, S.
(2023). Designing safety-oriented tourist routes for heterogeneous tourist groups using an
artificial multi-intelligence system. Journal of Industrial and Production Engineering,
40(2023), 589-609.
Dinkoksung, S., Pitakaso, R., Boonmee, C., Srichok, T., Khonjun, S., Jirasirilerd, G., Songkaphet, P.,
Nanthasamroeng, N. (2023). A Mobile Solution for Enhancing Tourist Safety in Warm and Humid
Destinations. Applied Sciences, 13(15), 9027; https://doi.org/10.3390/app13159027.
Pitakaso, R., Nanthasamroeng, N., Srichok, T., Khonjun, S., Weerayuth, N., Kotmongkol, T.,
Pornprasert, P., Pranet, K. (2022). A novel artificial multiple intelligence system (AMIS) for
agricultural product Transborder logistics network Design in the Greater Mekong Subregion
(GMS). Computation, 10(7), 126, 1-32.
Ngeoywijit, S., Kruasom, T., Ugsornwongand, K., Pitakaso, R., Sirirak, W., Nanthasamroeng, N.,
Kotmongkol, T., Srichok, T., Khonjun, S., Kaewta, C. (2022). Open innovations for tourism
logistics design: a case study of a smart bus route design for the medical tourist in the City of
Greater Mekong Subregion. Journal of Open Innovation: Technology, Market, and
Complexity, 8(4), 173, 1-29.
Punyakum, V., Sethanan, K., Nitisiri, K., Pitakaso, R. (2022). Hybrid particle swarm and whale
optimization algorithm for multi-visit and multi-period dynamic workforce scheduling and
routing problems. Mathematics, 10(19), 3663, 1-20.
Prasitpuriprecha, C., Pitakaso, R., Gonwirat, S., Enkvetchakul, P., Preeprem, T., Suvarnakuta Jantama,
S., Kaewta, C., Weerayuth, N., Srichok, T., Khonjun, S., Nanthasamroeng, N. (2022). Embedded
AMIS-deep learning with dialog-based object query system for multi-class tuberculosis drug
response classification. Diagnostics, 12(12), 2980, 1-30.
Nanthasamroeng, N., Khonjun, S., Srichok, T., Pitakaso, R., Akkararungroeungkul, R., Jirasirilerd, G.,
Sirisan, S. (2022). Transborder logistics network design for agricultural product transportation
in the Greater Mekong Subregion. The Asian Journal of Shipping and Logistics, 38(4),
245-262.
Thumrongvut, P., Sethanan, K., Jamrus, T., Wongloucha, C., Pitakaso, R., Golinska-Dawson, P. (2022).
Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement.
Mathematics, 10(24), 4750, 1-21.
Prasitpuriprecha, C., Suvarnakuta Jantama, S., Preeprem, T., Pitakaso, R., Srichok, T., Khonjun, S.,
Weerayuth, N., Gonwirat, S., Enkvetchakul, P., Kaewta, C., Nanthasamroeng, N. (2022).
Drug-resistant tuberculosis treatment recommendation, and multi-class tuberculosis detection
and classification using ensemble deep learning-based system. Pharmaceuticals, 16(1), 13,
1-27.
Sangkaphet, P., Pitakaso, R., Sethanan, K., Nanthasamroeng, N., Pranet, K., Khonjun, S., Srichok, T.,
Kaewman, S., Kaewta, C. (2022). A multiobjective variable neighborhood strategy adaptive
search to optimize the dynamic EMS location–allocation problem. Computation, 10(6), 103.
Punyakum, V., Sethanan, K., Nitisiri, K., Pitakaso, R., Gen, M. (2022). Hybrid differential evolution and
particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing
problems. Computers and Electronics in Agriculture, 197, June 2022, 106929.
Pitakaso, R., Nanthasamroeng, N., Dinkoksung, S., Chindaprasert, K., Sirirak, W., Srichok, T.,
Khonjun, S., Sirisan, S., Jirasirilerd, G., Chomchalao, C. (2022). Solving the Optimal
Selection of Wellness Tourist Attractions and Destinations in the GMS Using the AMIS
Algorithm. Computation 2022, 10(9), 165https://doi.org/10.3390/computation10090165.
Sawettham, A., Ngeovwijit, S., Pitakaso, R., Charoenrungrueang, Ch., Saisomboon, S.,
Kosacka-Olejnik, M. (2022). Deep learning for the prediction of trans-border logistics
of patients to medical centers. LogForum, 18(2), 247-259.
Srichok, T., Pitakaso, R., Sethanan, K., Kumphon, O., Pattanapairoj, S., Worasan, K. (2022). Novel
approach to find the optimal parameters of a tractor disc plough used for land preparation.
Engineering Optimization, 54(5), 864-880.
Khonjun, S., Pitakaso, R., Sethanan, K., Nanthasamroeng, N., Pranet, K., Kaewta, C., Sangkaphet, P.
(2022). Differential Evolution Algorithm for Optimizing the Energy Usage of Vertical
Transportation in an Elevator (VTE), Taking into Consideration Rush Hour Management and
COVID-19 Prevention. Sustainability, 14(5), 2581, 1-19.
Chainarong, S., Pitakaso, R., Sirirak, W., Srichok, T., Khonjun, S., Sethanan, K., Sangthean, T.
(2021). Multi-Objective Variable Neighborhood Strategy Adaptive Search for Tuning
Optimal Parameters of SSM-ADC12 Aluminum Friction Stir Welding. Journal of
Manufacturing and Materials Processing, 5, 123, 1-28.
Chainarong, S., Srichok, T., Pitakaso, R., Sirirak, W., Khonjun, S., Akararungruangku, R. (2021). Variable
neighborhood strategy adaptive search for optimal parameters of SSM-ADC 12 aluminum friction
stir welding. Processes, 9(10), 1805, 1-24.
Ransikarbum, K., Pitakaso, R., Kim, N., Ma, J. (2021). Multicriteria decision analysis framework for part
orientation analysis in additive manufacturing. Journal of Computational Design and Engineering,
8(4), 1141-1157.
Kusoncum, C., Sethanan, K., Pitakaso, R., F Hartl, R. (2021). Heuristics with novel approaches for
cyclical multiple parallel machine scheduling in sugarcane unloading systems. International
Journal of Production Research, 59(8), 2479-2497.
Khamsing, N., Chindaprasert, K., Pitakaso, R., Sirirak, W., Theeraviriya, C. (2021). Modified ALNS
algorithm for a processing application of family tourist route planning: a case study of Buriram
in Thailand. Computation, 9(2), 23, 1-30.
Ransikarbum, K., Pitakaso, R. (2021). Relative efficiency analysis of biomass agricultural plants using
data envelopment analysis. E3S Web of Conferences, 302(2021), 01003, 1-10.