Pupong Pongcharoen - researchr alias

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Viewing Publication 1 - 20 from 20

2023

Modified and hybridised bi-objective firefly algorithms for university course schedulingThatchai Thepphakorn, Pupong Pongcharoen. soco, 27(14):9735-9772, July 2023. [doi]

Competitive Learning and Dynamic Genetic Algorithms for Robust Layout Designs Under UncertaintiesSrisatja Vitayasak, Pupong Pongcharoen. swarm 2023: 195-207 [doi]

2021

Particle Swarm Optimisation Variants and Its Hybridisation Ratios for Generating Cost-Effective Educational Course TimetablesThatchai Thepphakorn, Saisumpan Sooncharoen, Pupong Pongcharoen. sncs, 2(4):264, 2021. [doi]

2020

A Deep Learning Tool Using Teaching Learning-Based Optimization for Supporting Smart Learning EnvironmentSaisumpan Sooncharoen, Thatchai Thepphakorn, Pupong Pongcharoen. icbl 2020: 392-404 [doi]

Grey Wolf production scheduling for the capital goods industrySaisumpan Sooncharoen, Pupong Pongcharoen, Christian Hicks. asc, 94:106480, 2020. [doi]

Academic Operating Costs Optimisation Using Hybrid MCPSO Based Course Timetabling ToolThatchai Thepphakorn, Saisumpan Sooncharoen, Pupong Pongcharoen. icbl 2020: 338-350 [doi]

Performance improvement strategies on Cuckoo Search algorithms for solving the university course timetabling problemThatchai Thepphakorn, Pupong Pongcharoen. eswa, 161:113732, 2020. [doi]

Static and Dynamic Parameter Settings of Accelerated Particle Swarm Optimisation for Solving Course Scheduling ProblemThatchai Thepphakorn, Saisumpan Sooncharoen, Pupong Pongcharoen. cdve 2020: 368-380 [doi]

Cooperative Designing of Machine Layout Using Teaching Learning Based Optimisation and Its ModificationsSrisatja Vitayasak, Pupong Pongcharoen. cdve 2020: 137-147 [doi]

2019

2018

Performance improvement of Teaching-Learning-Based Optimisation for robust machine layout designSrisatja Vitayasak, Pupong Pongcharoen. eswa, 98:129-152, 2018. [doi]

2016

A New Multiple Objective Cuckoo Search for University Course Timetabling ProblemThatchai Thepphakorn, Pupong Pongcharoen, Srisatja Vitayasak. miwai 2016: 196-207 [doi]

Application of Genetic Algorithm for Quantifying the Affect of Breakdown Maintenance on Machine LayoutSrisatja Vitayasak, Pupong Pongcharoen. miwai 2016: 208-218 [doi]

2015

Genetic Algorithm Based Robust Layout Design By Considering Various Demand VariationsSrisatja Vitayasak, Pupong Pongcharoen. swarm 2015: 257-265 [doi]

2013

Bat Algorithm, Genetic Algorithm and Shuffled Frog Leaping Algorithm for Designing Machine LayoutKittipong Dapa, Pornpat Loreungthup, Srisatja Vitayasak, Pupong Pongcharoen. miwai 2013: 59-68 [doi]

2009

Applying different control approaches for resources with high and low utilisation: a case study of the production of complex products with stochastic processing timesChristian Hicks, Pupong Pongcharoen. ijtm, 48(2):202-218, 2009. [doi]

2008

Improving Artificial Immune System Performance: Inductive Bias and Alternative MutationsPupong Pongcharoen, Warattapop Chainate, Sutatip Pongcharoen. icaris 2008: 220-231 [doi]

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