Pupong Pongcharoen

Orcid: 0000-0002-8059-8852

According to our database1, Pupong Pongcharoen authored at least 21 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Modified and hybridised bi-objective firefly algorithms for university course scheduling.
Soft Comput., July, 2023

Competitive Learning and Dynamic Genetic Algorithms for Robust Layout Designs Under Uncertainties.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

2021
Particle Swarm Optimisation Variants and Its Hybridisation Ratios for Generating Cost-Effective Educational Course Timetables.
SN Comput. Sci., 2021

2020
Performance improvement strategies on Cuckoo Search algorithms for solving the university course timetabling problem.
Expert Syst. Appl., 2020

Grey Wolf production scheduling for the capital goods industry.
Appl. Soft Comput., 2020

Academic Operating Costs Optimisation Using Hybrid MCPSO Based Course Timetabling Tool.
Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020

A Deep Learning Tool Using Teaching Learning-Based Optimization for Supporting Smart Learning Environment.
Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020

Cooperative Designing of Machine Layout Using Teaching Learning Based Optimisation and Its Modifications.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2020

Static and Dynamic Parameter Settings of Accelerated Particle Swarm Optimisation for Solving Course Scheduling Problem.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2020

2019
A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industry.
Int. J. Prod. Res., 2019

A Hybrid Discrete Bat Algorithm with Krill Herd-based advanced planning and scheduling tool for the capital goods industry.
Int. J. Prod. Res., 2019

Robust machine layout design under dynamic environment: Dynamic customer demand and machine maintenance.
Expert Syst. Appl. X, 2019

Variants and Parameters Investigations of Particle Swarm Optimisation for Solving Course Timetabling Problems.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

2018
Performance improvement of Teaching-Learning-Based Optimisation for robust machine layout design.
Expert Syst. Appl., 2018

2016
Application of Genetic Algorithm for Quantifying the Affect of Breakdown Maintenance on Machine Layout.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016

A New Multiple Objective Cuckoo Search for University Course Timetabling Problem.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016

2015
Genetic Algorithm Based Robust Layout Design By Considering Various Demand Variations.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2013
Bat Algorithm, Genetic Algorithm and Shuffled Frog Leaping Algorithm for Designing Machine Layout.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

2009
Applying different control approaches for resources with high and low utilisation: a case study of the production of complex products with stochastic processing times.
Int. J. Technol. Manag., 2009

2008
Improving Artificial Immune System Performance: Inductive Bias and Alternative Mutations.
Proceedings of the Artificial Immune Systems, 7th International Conference, 2008

2004
The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure.
Eur. J. Oper. Res., 2004


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