Kanchana Sethanan

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Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints

Mitsuo Gen, Chen-Fu Chien, Kanchana Sethanan, 2017, J. Intell. Manuf..

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 .

Bi-objective Optimization for Reentrant Shop Scheduling Problem

Chettha Chamnanlor, Kanchana Sethanan, 2015 .

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

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

Patient waiting time and satisfaction in GP clinic at a tertiary hospital in Thailand

Kanchana Sethanan, Sukangkana Talangkun, Teerawat Laonapakul, 2018 .

The Challenges of Industry 4.0 for Small and Medium Enterprises in Poland and Slovakia

R. Ulewicz, Kanchana Sethanan, Franitisek Novy, 2019, Quality Production Improvement - QPI.

Differential evolution algorithms with local search for the multi-products capacitated vehicle routing problem with time windows: A case study of the ice industry

Kanchana Sethanan, Rattanapong Kamphukaew, Thitipong Jamrus, 2018 .

Simulation- based approaches for processes improvement of a sugar mill yard management system: A case study of the sugar industry in the central region of Thailand

Kanchana Sethanan, E. Putri, Chuleeporn Kusoncum, 2019 .

Hybrid particle swarm optimization with a Cauchy distribution for solving a reentrant flexible flow shop problem with a blocking constraint

Kanchana Sethanan, C. Sangsawang, Chatnugrob Sangsawang, 2016 .

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.

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..

The multi-product vehicle routing problem with cross-docking: a novel strategy hybrid bat algorithm for Industry 3.5 in Thailand's food industry

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

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.

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..

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 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.

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.

Hybrid Particle Swarm Optimization Combined With Genetic Operators for Flexible Job-Shop Scheduling Under Uncertain Processing Time for Semiconductor Manufacturing

Mitsuo Gen, Chen-Fu Chien, Kanchana Sethanan, 2018, IEEE Transactions on Semiconductor Manufacturing.

A GLNPSO for multi-level capacitated lot-sizing and scheduling problem in the poultry industry

Kanchana Sethanan, Atiwat Boonmee, Kanchana Sethanan, 2016, Eur. J. Oper. Res..

Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations

Kanchana Sethanan, Woraya Neungmatcha, Kanchana Sethanan, 2016, Eur. J. Oper. Res..

Improved differential evolution algorithms for solving generalized assignment problem

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

Metaheuristics for Scheduling Unrelated Parallel Machines with Sequence-Dependent Setup Time and Machine Eligibility

Kanchana Sethanan, Chatnugrob Sangsawang, Karn Moonsri, 2015 .

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.

Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review

Kanchana Sethanan, P. Golińska-Dawson, 2023, Energies.

Hybrid differential evolution algorithm and genetic operator for multi-trip vehicle routing problem with backhauls and heterogeneous fleet in the beverage logistics industry

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

Re-entrant flow shop scheduling problem with time windows using hybrid genetic algorithm based on auto-tuning strategy

Mitsuo Gen, Chen-Fu Chien, Kanchana Sethanan, 2014 .

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

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

Adaptive genetic algorithm for solving sugarcane loading stations with multi-facility services problem

Mitsuo Gen, Kanchana Sethanan, Woraya Neungmatcha, 2013 .

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..

Minimizing the total cost of hen allocation to poultry farms using hybrid Growing Neural Gas approach

Banchar Arnonkijpanich, Kanchana Sethanan, Somnuk Theerakulpisut, 2015, Comput. Electron. Agric..

Differential evolution algorithms for scheduling raw milk transportation

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

House Size Determination for Poultry Production

Kanchana Sethanan, Woraya Neungmatcha, Somnuk Theerakulpisut, 2013 .

Solving Production Scheduling of Egg Production in Hen Farms with Capacity of Slaughterhouse by Heuristic Algorithms

Kanchana Sethanan, Thitipong Jamrus, Patthamaporn Boonthavee, 2013 .

Hybrid Differential Evolution and Particle Swarm Optimization Algorithm for the Sugarcane Cultivation Scheduling Problem

Kanchana Sethanan, Karn Moonsri, Kongkidakhon Worasan, 2018, Chiang Mai University Journal of Natural Sciences.

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..

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

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

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.

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.

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.

Double AMIS-ensemble deep learning for skin cancer classification

Kanchana Sethanan, R. Pitakaso, C. Boonmee, 2023, Expert Syst. Appl..

Metaheuristics optimization approaches for two-stage reentrant flexible flow shop with blocking constraint

Mitsuo Gen, Kanchana Sethanan, Takahiro Fujimoto, 2015, Expert Syst. Appl..

Multi-objective distributed generation hierarchical optimal planning in distribution network: improved beluga whale optimization algorithm

Kuo-Jui Wu, Kanchana Sethanan, Ling-ling Li, 2023, Expert Systems with Applications.

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..

Modified differential evolution and heuristic algorithms for dump tippler machine allocation in a typical sugar mill in Thailand

Richard F. Hartl, Kanchana Sethanan, Thitipong Jamrus, 2020, Operational Research.

Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints

M. Gen, Chettha Chamnanlor, Kanchana Sethanan, 2015, Journal of Intelligent Manufacturing.

Makespan Minimization for Scheduling Unrelated Parallel Machine with Sequence-Dependent Setup Time

Kanchana Sethanan, Karn Moonsri, Kanchana Sethanan, 2015 .

Heuristics for Scheduling Hybrid Flow Shop with Time Windows

Kanchana Sethanan, Chettha Chamnanlor, Chettha Chamnanlor, 2013 .

A Gap Study between Employers’ Expectations in Thailand and Current Competence of Master’s Degree Students in Industrial Engineering under Industry 4.0

Kanchana Sethanan, K. Nitisiri, S. Pattanapairoj, 2021, Production Engineering Archives.

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.