Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Kuk-Hyun Han"'
Publikováno v:
Journal of the Korean Society for Precision Engineering. 38:651-657
Publikováno v:
Transactions of the Korean Society for Noise and Vibration Engineering. 27:593-601
Publikováno v:
Transactions of the Korean Society for Noise and Vibration Engineering. 25:606-613
In this study, the torsional vibration analysis for a marine propulsion system is carried out by us-ing the transfer matrix method(TMM). The torsional moment produced by gas pressure and recip-rocating inertia force may yield severe torsional vibrati
Publikováno v:
Pattern Recognition Letters. 25:1857-1865
This paper proposes a novel face verification method using principal components analysis (PCA) and evolutionary algorithm (EA). Although PCA related algorithms have shown outstanding performance, the problem lies in making decision rules or distance
Autor:
Kuk-Hyun Han, Jong-Hwan Kim
Publikováno v:
IEEE Transactions on Evolutionary Computation. 8:156-169
From recent research on combinatorial optimization of the knapsack problem, quantum-inspired evolutionary algorithm (QEA) was proved to be better than conventional genetic algorithms. To improve the performance of the QEA, this paper proposes researc
Autor:
Kuk-Hyun Han, Jong-Hwan Kim
Publikováno v:
IEEE Transactions on Evolutionary Computation. 6:580-593
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principles of quantum computing, such as a quantum bit and superposition of st
Publikováno v:
Autonomous Robots. 10:135-147
This paper proposes a novel direct internet control architecture for internet-based personal robot, which is insensitive to the inherent internet time delay. The personal robot can be controlled using a simulator provided at a local site. Since the i
Publikováno v:
IEEE Congress on Evolutionary Computation
This paper proposes a multiobjective evolutionary algorithm (MOEA) inspired by quantum computing, which is named quantum-inspired multiobjective evolutionary algorithm (QMEA). In the previous papers, quantum-inspired evolutionary algorithm (QEA) was
Autor:
Jong-Hwan Kim, Kuk-Hyun Han
Publikováno v:
IEEE Congress on Evolutionary Computation
This paper discusses the reason why QEA works and verifies how QEA works. The theoretical analysis of the simplified model of the segment process of QEA shows that QEA with a single individual for OneMax problem guarantees the global solution in term
Autor:
Allan Maymin, Robert Toscano, Kuk-Hyun Han, Jeff Lieberman, Jonathan Salinas, Walter Dan Stiehl, Daniel Fuentes, Cynthia Breazeal, Levi Lalla, Aseem Kishore, Cheng Hau Tong
Publikováno v:
SIGGRAPH Sketches