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Guan-Chun Luh
Researcher at Tatung University
Publications - 35
Citations - 1177
Guan-Chun Luh is an academic researcher from Tatung University. The author has contributed to research in topics: Artificial immune system & Mobile robot. The author has an hindex of 18, co-authored 35 publications receiving 1087 citations. Previous affiliations of Guan-Chun Luh include Center for Automotive Research.
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Multi-objective optimal design of truss structure with immune algorithm
Guan-Chun Luh,Chung-Huei Chueh +1 more
TL;DR: Inter-relationships within the constrained multi-objective immune algorithm (CMOIA) resemble antibody–antigen relationships in terms of specificity, germinal center, and the memory characteristics of adaptive immune responses.
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Optimal design of truss-structures using particle swarm optimization
Guan-Chun Luh,Chun-Yi Lin +1 more
TL;DR: In this paper, a two-stage particle swarm optimization was utilized to solve truss-structure optimization problem achieving minimum weight objective under stress, deflection, and kinematic stability constraints.
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A binary particle swarm optimization for continuum structural topology optimization
TL;DR: A modified binary PSO algorithm that adopts the concept of genotype-phenotype representation and the method for mapping binary particle into this representation are detailed, indicating the effectiveness of the proposed algorithm and its ability to find families of structural topologies.
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MOIA: Multi-objective immune algorithm
TL;DR: Using five performance metrics, MOIA simulation figures were compared with data derived from a strength Pareto evolutionary algorithm (SPEA), and results indicate that the MOIA outperformed the SPEA in several areas.
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Structural topology optimization using ant colony optimization algorithm
Guan-Chun Luh,Chun-Yi Lin +1 more
TL;DR: The ant colony optimization (ACO) algorithm, a relatively recent bio-inspired approach to solve combinatorial optimization problems mimicking the behavior of real ant colonies, is applied to problems of continuum structural topology design.