QEA (Quantum-inspired Evolutionary Algorithm)
Abstract
A quantum computer exploits the inherent parallelism that is provided by the superposition of quantum states. All states can be represented using probabilistic methods in parallel processing, and the act of observing the quantum computer produces a single state. A novel evolutionary computing algorithm called the Quantum-inspired Evolutionary Algorithm (QEA) was proposed and pursued. QEA is characterized by principles of quantum computing including concepts of qubits and superposition of states. QEA uses a Q-bit representation instead of binary, numeric or symbolic representations. QEA can imitate parallel computation in classical computers.
Ph.D Thesis
Kuk-Hyun Han, Quantum-inspired Evolutionary Algorithm. Ph.D thesis, Electrical Engineering and Computer Science, Korea
Advanced Institute of Science and Technology (KAIST), June 2003.
International Journal Papers
Jun-Su
Jang, Kuk-Hyun Han and Jong-Hwan Kim, "Evolutionary
algorithm-based face verification," Pattern Recognition Letters,
Elsevier B. V., Vol. 25, No. 16, pp. 1857-1865, December 2004.
Kuk-Hyun Han
and Jong-Hwan Kim, "Quantum-inspired Evolutionary Algorithms with a New
Termination Criterion, H¥å Gate,
and Two Phase Scheme," IEEE Transactions on Evolutionary Computation,
IEEE Press, Vol. 8, No. 2, pp. 156-169, April 2004.
Kyung-Ho
Kim, Joo-Young Hwang, Kuk-Hyun
Han, Jong-Hwan Kim and Kyu-Ho Park, "A
Quantum-inspired Evolutionary Computing Algorithm for Disk Allocation
Method," IEICE Transactions on Information and Systems, IEICE
Press, Vol. E86-D, No. 3, pp. 645-649, March 2003.
Kuk-Hyun Han
and Jong-Hwan Kim, "Quantum-inspired Evolutionary Algorithm for a Class of
Combinatorial Optimization," IEEE Transactions on Evolutionary
Computation, IEEE Press, Vol. 6, No. 6, pp. 580-593, December 2002.
International Conference Papers
Kuk-Hyun Han and
Jong-Hwan Kim, "On the Analysis of the Quantum-inspired Evolutionary
Algorithm with a Single Individual," in Proceedings of the 2006 IEEE
Congress on Evolutionary Computation, IEEE Press, pp. 9172-9179, July 2006.
Yehoon
Kim, Jong-Hwan Kim and Kuk-Hyun Han,
"Quantum-inspired Multiobjective Evolutionary
Algorithm for Multiobjective 0/1 Knapsack
Problems," in Proceedings of the 2006 IEEE Congress on Evolutionary
Computation, IEEE Press, pp. 9151-9156, July 2006.
Jun-Su
Jang, Kuk-Hyun Han and Jong-Hwan Kim,
"Face Detection using Quantum-inspired Evolutionary Algorithm," in Proceedings
of the 2004 IEEE Congress on Evolutionary Computation, IEEE Press, pp.
2100-2106, June 2004.
Kuk-Hyun Han and
Jong-Hwan Kim, "On Setting the Parameters of Quantum-inspired Evolutionary
Algorithm for Practical Applications," in Proceedings of the 2003 IEEE
Congress on Evolutionary Computation, IEEE Press, pp. 178-184, December
2003.
Jun-Su
Jang, Kuk-Hyun Han and Jong-Hwan Kim,
"Quantum-inspired Evolutionary Algorithm-based Face Verification," Lecture
Notes in Computer Science (GECCO 2003), eds. E. Cantu-Paz et al., Berlin Heidelberg:
Springer-Verlag, Vol. 2724, pp. 2147-2156, July 2003.
Kuk-Hyun Han and
Jong-Hwan Kim, "On Setting the Parameters of QEA for Practical
Applications: Some Guidelines based on Empirical Evidence," Lecture Notes
in Computer Science (GECCO 2003), eds. E. Cantu-Paz et al., Berlin
Heidelberg: Springer-Verlag, Vol. 2723, pp.
427-428, July 2003.
Kuk-Hyun Han
and Jong-Hwan Kim, "Introduction of Quantum-inspired Evolutionary
Algorithm," in Proceedings of the 2002 FIRA Robot World Congress,
pp. 243-248, May 2002.
Kuk-Hyun Han
and Jong-Hwan Kim, "Analysis of Quantum-inspired Evolutionary
Algorithm," in Proccedings of the 2001
International Conference on Artificial Intelligence, CSREA Press, Vol. 2,
pp. 727-730, June 2001.
Kuk-Hyun Han,
Kui-Hong Park, Chi-Ho Lee and Jong-Hwan Kim,
"Parallel Quantum-inspired Genetic Algorithm for Combinatorial
Optimization Problem," in Proceedings of the 2001 IEEE Congress on
Evolutionary Computation, IEEE Press, pp. 1422-1429, May 2001.
Kuk-Hyun Han
and Jong-Hwan Kim, "Genetic Quantum Algorithm and its Application to
Combinatorial Optimization Problem," in Proceedings of the 2000 IEEE
Congress on Evolutionary Computation, IEEE Press, pp. 1354-1360, July 2000.
Domestic Conference Paper
Yehoon
Kim, Jong-Hwan Kim and Kuk-Hyun Han,
"Quantum-inspired Multiobjective Evolutionary
Algorithm," in Proceedings of the KACC, ICASE, October 2005.
(Korean)
Awards
Best Paper Award at the 3rd Technology Thesis Prize Awards (2005. 1.)
organized by Digital Media R&D Center, Samsung Electronics Co., Ltd.
"Quantum-inspired Evolutionary Algorithms for a Class of Combinatorial and Numerical Optimization Problems"
Gold
Prize at the 9th Samsung Humantech Thesis
Prize Awards (2003. 2.)
"Two-Phase Quantum-inspired Evolutionary Algorithm"
(Korean,
"2»ó ¾çÀÚ ÁøÈ ¾Ë°í¸®Áò")
Bronze
Prize at the 7th Samsung Humantech Thesis
Prize Awards (2001. 2.)
"Quantum-inspired Evolutionary Algorithm"
(Korean,
"¾çÀÚ ÁøÈ ¾Ë°í¸®Áò")
Patent
Jong-Hwan Kim and Kuk-Hyun Han, "Genetic Quantum Algorithm using quantum computing concept," Patent Number 0350233, Korea (2000.3.27 / 2002.8.13)