S
Sujin Bureerat
Researcher at Khon Kaen University
Publications - 159
Citations - 3309
Sujin Bureerat is an academic researcher from Khon Kaen University. The author has contributed to research in topics: Population & Evolutionary algorithm. The author has an hindex of 26, co-authored 142 publications receiving 1976 citations. Previous affiliations of Sujin Bureerat include Uludağ University.
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A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails
TL;DR: The optimum design of a guardrail is obtained, which has a minimum weight and acceleration severity index value (ASI), showing that the HHOSA is a highly effective approach for optimizing real-world design problems.
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A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
TL;DR: This paper is the first research study in which both the Harris hawks optimization algorithm and the H-HHONM are applied for the optimization of process parameters in milling operations.
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Structural optimization using multi-objective modified adaptive symbiotic organisms search
TL;DR: The results confirmed that the proposed adaptive mutualism phase and modified parasitism phase with a normal line method as an archiving technique provide superior and competitive results than the former obtained results.
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Multi-objective topology optimization using evolutionary algorithms
TL;DR: The comparative performance of some established multi-objective evolutionary algorithms (MOEAs) for structural topology optimization is dealt with and it is shown that PBIL is far superior to the others.
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Comparative performance of meta-heuristic algorithms for mass minimisation of trusses with dynamic constraints
Nantiwat Pholdee,Sujin Bureerat +1 more
TL;DR: It was found that the best optimisers for this design task are evolution strategy with covariance matrix adaptation (CMAES) and differential evolution (DE), and the best penalty function technique was discovered.