R. Pitakaso

发表

Marketplace Location Decision Making and Tourism Route Planning

Worapot Sirirak, R. Pitakaso, 2018, Administrative Sciences.

Industry 4.0: state of the art and research implications

R. Pitakaso, M. Kosacka-Olejnik, Monika Kosacka-Olejnik, 2019, Logforum.

Edge boundary variable neighborhood strategy adaptive search for a vegetable crop land allocation problem

M. Gen, Kanchana Sethanan, R. Pitakaso, 2022, International Journal of Management Science and Engineering Management.

Modified differential evolution algorithm for simple assembly line balancing with a limit on the number of machine types

Kanchana Sethanan, Rapeepan Pitakaso, Kanchana Sethanan, 2016 .

Problem and Methodology to Solve Lot Sizing Problems

Rapeepan Pitakaso, R. Pitakaso, 2010 .

Evaluation of Assembly Part Build Orientation in Additive Manufacturing Environment using Data Envelopment Analysis

Namhun Kim, Rapeepan Pitakaso, Kasin Ransikarbum, 2019, MATEC Web of Conferences.

A Decision-Support Model for Additive Manufacturing Scheduling Using an Integrative Analytic Hierarchy Process and Multi-Objective Optimization

Namhun Kim, Rapeepan Pitakaso, Kasin Ransikarbum, 2020 .

Process Construct in the Virtual R&D Teams

Nader Ale Ebrahim, H. T. Luong, Shamsuddin Ahmed, 2012 .

Combined Response Surface Method and Modified Differential Evolution for Parameter Optimization of Friction Stir Welding

Kanchana Sethanan, Worapot Sirirak, R. Pitakaso, 2020, Processes.

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

Worapot Sirirak, R. Pitakaso, Thanatkij Srichok, 2022, Journal of Open Innovation: Technology, Market, and Complexity.

Application of Industry 3.5 approach for planning of more sustainable supply chain operations for tourism service providers

Kanchana Sethanan, R. Pitakaso, P. Golińska-Dawson, 2022, International Journal of Logistics Research and Applications.

Transborder logistics network design for agricultural product transportation in the Greater Mekong Subregion

R. Pitakaso, Thanatkij Srichok, N. Nanthasamroeng, 2022, The Asian Journal of Shipping and Logistics.

The development of multi-objective optimization model for excess bagasse utilization: A case study for Thailand

Daniel J. Watts, Rapeepan Pitakaso, Wanpen Wirojanagud, 2008 .

Hybrid differential evolution and particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing problems

M. Gen, Kanchana Sethanan, R. Pitakaso, 2022, Comput. Electron. Agric..

A differential evolution algorithm for the capacitated VRP with flexibility of mixing pickup and delivery services and the maximum duration of a route in poultry industry

Kanchana Sethanan, Rapeepan Pitakaso, Ladda Tanwanichkul, 2017, J. Intell. Manuf..

A differential evolution algorithm for the capacitated VRP with flexibility of mixing pickup and delivery services and the maximum duration of a route in poultry industry

Kanchana Sethanan, R. Pitakaso, Darat Dechampai, 2015, Journal of Intelligent Manufacturing.

Multi-Objective Variable Neighborhood Strategy Adaptive Search for Tuning Optimal Parameters of SSM-ADC12 Aluminum Friction Stir Welding

Kanchana Sethanan, Worapot Sirirak, R. Pitakaso, 2021, Journal of Manufacturing and Materials Processing.

Variable Neighborhood Strategy Adaptive Search for Optimal Parameters of SSM-ADC12 Aluminum Friction Stir Welding

Worapot Sirirak, R. Pitakaso, S. Chainarong, 2021, Processes.

Hybrid PSO and ALNS algorithm for software and mobile application for transportation in ice manufacturing industry 3.5

Kanchana Sethanan, Rapeepan Pitakaso, Thitipong Jamrus, 2020, Comput. Ind. Eng..

Minimizing Energy Usage and Makespan of Elevator Operation in Rush Hour Using Multi-Objective Variable Neighborhood Strategy Adaptive Search with a Mobile Application

R. Pitakaso, Rojanee Homchalee, Orawich Kumphon, 2023, Mathematics.

Ensemble Deep Learning Ultimate Tensile Strength Classification Model for Weld Seam of Asymmetric Friction Stir Welding

Kanchana Sethanan, R. Pitakaso, M. Kosacka-Olejnik, 2023, Processes.

A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

R. Pitakaso, Thanatkij Srichok, N. Nanthasamroeng, 2022, Comput..

A novel variable neighborhood strategy adaptive search for SALBP-2 problem with a limit on the number of machine’s types

Kanchana Sethanan, R. Pitakaso, P. Golińska-Dawson, 2021, Annals of Operations Research.

Modified ALNS Algorithm for a Processing Application of Family Tourist Route Planning: A Case Study of Buriram in Thailand

Rapeepan Pitakaso, Chalermchat Theeraviriya, Worapot Sirirak, 2021, Comput..

Heuristics with novel approaches for cyclical multiple parallel machine scheduling in sugarcane unloading systems

Richard F. Hartl, Kanchana Sethanan, Rapeepan Pitakaso, 2020, Int. J. Prod. Res..

Variable neighborhood strategy adaptive search for solving green 2-echelon location routing problem

Kanchana Sethanan, Rapeepan Pitakaso, Chalermchat Theeraviriya, 2020, Comput. Electron. Agric..

Simple Assembly Line Balancing Problem Type 2 By Variable Neighborhood Strategy Adaptive Search: A Case Study Garment Industry

Kanchana Sethanan, Rapeepan Pitakaso, Sasitorn Kaewman, 2020, Journal of Open Innovation: Technology, Market, and Complexity.

Location Decision Making and Transportation Route Planning Considering Fuel Consumption

Rapeepan Pitakaso, Sasitorn Kaewman, Chalermchat Theeraviriya, 2019, Journal of Open Innovation: Technology, Market, and Complexity.

Improved differential evolution algorithms for solving generalized assignment problem

Kanchana Sethanan, Rapeepan Pitakaso, Kanchana Sethanan, 2016, Expert Syst. Appl..

Differential evolution algorithm for simple assembly line balancing type 1 (SALBP-1)

Rapeepan Pitakaso, R. Pitakaso, 2015 .

Embedded AMIS-Deep Learning with Dialog-Based Object Query System for Multi-Class Tuberculosis Drug Response Classification

R. Pitakaso, Thanawadee Preeprem, Thanatkij Srichok, 2022, Diagnostics.

An Improved Differential Evolution Algorithm for Crop Planning in the Northeastern Region of Thailand

Kanchana Sethanan, Rapeepan Pitakaso, Tassin Srivarapongse, 2018, Mathematical and Computational Applications.

Relative Efficiency Analysis of Biomass Agricultural Plants using Data Envelopment Analysis

R. Pitakaso, K. Ransikarbum, 2021, E3S Web of Conferences.

Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification

Kanchana Sethanan, R. Pitakaso, Thanawadee Preeprem, 2023, Frontiers in Medicine.

Hybrid particle swarm optimization and neighborhood strategy search for scheduling machines and equipment and routing of tractors in sugarcane field preparation

Kanchana Sethanan, Rapeepan Pitakaso, Karn Moonsri, 2020, Comput. Electron. Agric..

Differential evolution algorithms for scheduling raw milk transportation

Kanchana Sethanan, Rapeepan Pitakaso, Kanchana Sethanan, 2016, Comput. Electron. Agric..

A decision support system based on an artificial multiple intelligence system for vegetable crop land allocation problem

K. Tan, Kanchana Sethanan, R. Pitakaso, 2023, Annals of Operations Research.

A Multiobjective Variable Neighborhood Strategy Adaptive Search to Optimize the Dynamic EMS Location-Allocation Problem

Kanchana Sethanan, R. Pitakaso, Sasitorn Kaewman, 2022, Comput..

A MAX-MIN ant system for unconstrained multi-level lot-sizing problems

Richard F. Hartl, Karl F. Doerner, Rapeepan Pitakaso, 2007, Comput. Oper. Res..

Application of Prediction Markets Phenomenon as Decision Support Instrument in Vehicle Recycling Sector

Kanchana Sethanan, Rapeepan Pitakaso, Monika Kosacka-Olejnik, 2019, Logforum.

Multicriteria decision analysis framework for part orientation analysis in additive manufacturing

Rapeepan Pitakaso, Kasin Ransikarbum, Jungmok Ma, 2021, J. Comput. Des. Eng..

A Mobile Solution for Enhancing Tourist Safety in Warm and Humid Destinations

R. Pitakaso, C. Boonmee, Sairoong Dinkoksung, 2023, Applied Sciences.

A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble Machine Learning Approach

Worapot Sirirak, R. Pitakaso, Thanatkij Srichok, 2023, Intelligent Systems with Applications.

Multi-Objective Modified Differential Evolution Methods for the Optimal Parameters of Aluminum Friction Stir Welding Processes of AA6061-T6 and AA5083-H112

Kanchana Sethanan, R. Pitakaso, P. Golińska-Dawson, 2023, Metals.

Prediction of the Ultimate Tensile Strength (UTS) of Asymmetric Friction Stir Welding Using Ensemble Machine Learning Methods

Kanchana Sethanan, R. Pitakaso, Thanatkij Srichok, 2023, Processes.

Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based System

R. Pitakaso, Thanawadee Preeprem, Thanatkij Srichok, 2022, Pharmaceuticals.

Solving the Optimal Selection of Wellness Tourist Attractions and Destinations in the GMS Using the AMIS Algorithm

Worapot Sirirak, R. Pitakaso, Sairoong Dinkoksung, 2022, Comput..

Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement

Kanchana Sethanan, R. Pitakaso, P. Golińska-Dawson, 2022, Mathematics.

Adaptive Large Neighborhood Search to Solve Multi-Level Scheduling and Assignment Problems in Broiler Farms

Kanchana Sethanan, Rapeepan Pitakaso, Monika Kosacka-Olejnik, 2019, Journal of Open Innovation: Technology, Market, and Complexity.

A New Optimization Technique for the Location and Routing Management in Agricultural Logistics

Kanchana Sethanan, Rapeepan Pitakaso, Monika Kosacka-Olejnik, 2020, Journal of Open Innovation: Technology, Market, and Complexity.

Community Agricultural Reservoir Construction and Water Supply Network Design in Ubon Ratchathani, Thailand, Using Adjusted Variable Neighborhood Strategy Adaptive Search

Worapot Sirirak, R. Pitakaso, Thanatkij Srichok, 2023, Water.

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

Kanchana Sethanan, R. Pitakaso, N. Nanthasamroeng, 2022, Sustainability.

Application of Modified Differential Evolution for the supply chain management of rice in the lower north-eastern region of Thailand.

R. Pitakaso, T. Phannikul, S. Thoucharee, 2017 .

Double AMIS-ensemble deep learning for skin cancer classification

Kanchana Sethanan, R. Pitakaso, C. Boonmee, 2023, Expert Systems with Applications.

Gamification design using tourist-generated pictures to enhance visitor engagement at intercity tourist sites

R. Pitakaso, C. Boonmee, Thanatkij Srichok, 2023, Annals of Operations Research.

Solving large unconstrainted multi level lot-sizing problem by a binary particle swarm optimization

Rapeepan Pitakaso, Klorklear Wajanawichakon, R. Pitakaso, 2011 .

Adaptive large neighborhood search for scheduling sugarcane inbound logistics equipment and machinery under a sharing infield resource system

Kanchana Sethanan, Rapeepan Pitakaso, Kanchana Sethanan, 2019, Comput. Electron. Agric..

Combining population-based and exact methods for multi-level capacitated lot-sizing problems

Richard F. Hartl, Karl F. Doerner, Rapeepan Pitakaso, 2006 .

Two-Stage Ensemble Deep Learning Model for Precise Leaf Abnormality Detection in Centella asiatica

R. Pitakaso, Thanatkij Srichok, Sarayut Gonwirat, 2024, AgriEngineering.

Designing safety-oriented tourist routes for heterogeneous tourist groups using an artificial multi-intelligence system

R. Pitakaso, Sairoong Dinkoksung, Sarayut Gonwirat, 2023, Journal of Industrial and Production Engineering.

An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources

Kanchana Sethanan, R. Pitakaso, Ajay Kumar, 2024, Annals of Operations Research.

Methodology to Solve a Special Case of the Vehicle Routing Problem: A Case Study in the Raw Milk Transportation System

Kanchana Sethanan, Peerawat Chokanat, Rapeepan Pitakaso, 2019, AgriEngineering.

Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management

Kanchana Sethanan, R. Pitakaso, Thanatkij Srichok, 2024, Engineering Applications of Artificial Intelligence.