메뉴 건너뛰기




Volumn 218, Issue 6, 2011, Pages 2516-2532

Quantum-inspired space search algorithm (QSSA) for global numerical optimization

Author keywords

Evolutionary computation; Numerical optimization; Overlapping strategy; Quantum inspired space search algorithm (QSSA)

Indexed keywords

EXPLORATION AND EXPLOITATION; FEASIBLE SOLUTION; FITNESS VALUES; GLOBAL SEARCH ALGORITHM; LOCAL SEARCH ALGORITHM; NUMERICAL OPTIMIZATIONS; OVERLAPPING STRATEGY; PREMATURE CONVERGENCE; QUANTUM BITS; SEARCH SPEED; SPACE SEARCH;

EID: 80053273584     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2011.07.067     Document Type: Article
Times cited : (22)

References (32)
  • 1
    • 0028338155 scopus 로고
    • An introduction to simulated evolutionary optimization
    • D.B. Fogel An introduction to simulated evolutionary optimization IEEE Trans. Neural Netw. 5 1994 3 14
    • (1994) IEEE Trans. Neural Netw. , vol.5 , pp. 3-14
    • Fogel, D.B.1
  • 5
    • 0028565561 scopus 로고
    • Hybridizing genetic algorithms with hill-climbing methods for global optimization: Two possible ways
    • Orlando, FL
    • J. Renders, H. Bersini, Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways, in: Proceedings of the 1st IEEE Conference Evolutionary Computation, Orlando, FL, 1994, pp. 312-317.
    • (1994) Proceedings of the 1st IEEE Conference Evolutionary Computation , pp. 312-317
    • Renders, J.1    Bersini, H.2
  • 6
    • 4444296251 scopus 로고    scopus 로고
    • Hybrid Taguchi-genetic algorithm for global numerical optimization
    • J.T. Tsai, T.K. Liu, and J.H. Chou Hybrid Taguchi-genetic algorithm for global numerical optimization IEEE Trans. Evol. Comput. 8 2004 365 377
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , pp. 365-377
    • Tsai, J.T.1    Liu, T.K.2    Chou, J.H.3
  • 8
    • 38649139923 scopus 로고    scopus 로고
    • Improved particle swarm algorithms for global optimization
    • DOI 10.1016/j.amc.2007.06.020, PII S0096300307007126
    • M.M. Ali, and P. Kaelo Improved particle swarm algorithms for global optimization Appl. Math. Comput. 196 2 2008 578 593 (Pubitemid 351174320)
    • (2008) Applied Mathematics and Computation , vol.196 , Issue.2 , pp. 578-593
    • Ali, M.M.1    Kaelo, P.2
  • 9
    • 27144475732 scopus 로고    scopus 로고
    • Self-adaptive differential evolution algorithm for numerical optimization
    • 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
    • A.K. Qin, P.N. Suganthan, Self-adaptive differential evolution algorithm for numerical optimization, in: Proceedings of the 2005 Congress on Evolutionary Computation, vol. 2, 2005, pp. 1785-1791. (Pubitemid 41496065)
    • (2005) 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings , vol.2 , pp. 1785-1791
    • Qin, A.K.1    Suganthan, P.N.2
  • 12
    • 0036945847 scopus 로고    scopus 로고
    • Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
    • K.H. Han, and J.H. Kim Quantum-inspired evolutionary algorithm for a class of combinatorial optimization IEEE Trans. Evol. Comput. 6 2002 580 593
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , pp. 580-593
    • Han, K.H.1    Kim, J.H.2
  • 13
    • 3042638301 scopus 로고    scopus 로고
    • A novel quantum genetic algorithm and itsapplication
    • G.X. Zhang, N. Li, W.D. Jin, and L.Z. Hu A novel quantum genetic algorithm and itsapplication ACTA Electronica Sin. 32 2004 476 479
    • (2004) ACTA Electronica Sin. , vol.32 , pp. 476-479
    • Zhang, G.X.1    Li, N.2    Jin, W.D.3    Hu, L.Z.4
  • 14
    • 31144437014 scopus 로고    scopus 로고
    • Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation
    • DOI 10.1016/j.amc.2005.01.115, PII S0096300305001645
    • L. Wang, F. Tang, and H. Wu Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation Appl. Math. Comput. 171 2 2005 1141 1156 (Pubitemid 43131099)
    • (2005) Applied Mathematics and Computation , vol.171 , Issue.2 , pp. 1141-1156
    • Wang, L.1    Tang, F.2    Wu, H.3
  • 16
    • 80053249722 scopus 로고    scopus 로고
    • Application of modified quantum genetic algorithm in optimization of multi-peak functions
    • M.W. He, G.H. Li, and B.Y. Ruan Application of modified quantum genetic algorithm in optimization of multi-peak functions Comput. Eng. Appl. 44 7 2008 41 43
    • (2008) Comput. Eng. Appl. , vol.44 , Issue.7 , pp. 41-43
    • He, M.W.1    Li, G.H.2    Ruan, B.Y.3
  • 17
    • 69249207385 scopus 로고    scopus 로고
    • A new hybrid quantum evolutionary algorithm
    • P. Xie, B. Li, and Z.Q. Zhuang A new hybrid quantum evolutionary algorithm Comput. Sci. 35 2 2008 166 170
    • (2008) Comput. Sci. , vol.35 , Issue.2 , pp. 166-170
    • Xie, P.1    Li, B.2    Zhuang, Z.Q.3
  • 18
    • 37048998937 scopus 로고    scopus 로고
    • Real-coded quantum evolutionary algorithm for complex functions with high-dimension
    • DOI 10.1109/ICMA.2007.4304033, 4304033, Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007
    • R. Zhang and H. Gao, Real-coded quantum evolutionary algorithm for complex function with high dimension, in: Proceedings of IEEE International Conference on Mechatronics and Automation, August 2007, pp. 2974-2979. (Pubitemid 350245119)
    • (2007) Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, ICMA 2007 , pp. 2974-2979
    • Zhang, R.1    Gao, H.2
  • 19
    • 38149015519 scopus 로고    scopus 로고
    • Real-observation quantuminspired evolutionary algorithm for a class of numerical optimization problems
    • G.X. Zhang, H.N. Rong, Real-observation quantuminspired evolutionary algorithm for a class of numerical optimization problems, in: ICCS2007, 2007, pp. 989-996.
    • (2007) ICCS2007 , pp. 989-996
    • Zhang, G.X.1    Rong, H.N.2
  • 22
    • 7744240726 scopus 로고    scopus 로고
    • A robust stochastic genetic algorithm (StGA) for global numerical optimization
    • Z. Tu, and Y. Lu A robust stochastic genetic algorithm (StGA) for global numerical optimization IEEE Trans. Evol. Comput. 8 5 2004 456 470
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , Issue.5 , pp. 456-470
    • Tu, Z.1    Lu, Y.2
  • 23
    • 0035247566 scopus 로고    scopus 로고
    • An orthogonal genetic algorithm with quantization for global numerical optimization
    • DOI 10.1109/4235.910464, PII S1089778X01009997
    • Y.W. Leung, and Y. Wang An orthogonal genetic algorithm with quantization for global numerical optimization IEEE Trans. Evol. Comput. 5 2001 41 53 (Pubitemid 32330496)
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.1 , pp. 41-53
    • Leung, Y.-W.1    Wang, Y.2    Leung, Y.-W.3    Wang, Y.4
  • 25
    • 55749112484 scopus 로고    scopus 로고
    • Algorithm based on heuristic subspace searching strategy for solving investment portfolio optimization problems
    • June
    • D. Jiang Z. Wu, J. Zou, M. Wei, L. Kang, Algorithm based on heuristic subspace searching strategy for solving investment portfolio optimization problems, in: Proceedings of the 2008 Congress on Evolutionary Computation, June 2008, pp. 607-611.
    • (2008) Proceedings of the 2008 Congress on Evolutionary Computation , pp. 607-611
    • Jiang, D.1    Wu, Z.2    Zou, J.3    Wei, M.4    Kang, L.5
  • 31
    • 27144512834 scopus 로고    scopus 로고
    • A restart CMA evolution strategy with increasing population size
    • 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
    • A. Auger, N. Hansen, A restart CMA evolution strategy with increasing population size, in: Proceedings of the 2005 Congress on Evolutionary Computation, 2005, pp. 1769-1776. (Pubitemid 41496063)
    • (2005) 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings , vol.2 , pp. 1769-1776
    • Auger, A.1    Hansen, N.2
  • 32
    • 0042879997 scopus 로고    scopus 로고
    • Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
    • DOI 10.1162/106365603321828970
    • N. Hansen, S.D. Muller, and P. Koumoutsakos Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES) Evol. Comput. 11 1 2003 1 18 (Pubitemid 37044186)
    • (2003) Evolutionary Computation , vol.11 , Issue.1 , pp. 1-18
    • Hansen, N.1    Muller, S.D.2    Koumoutsakos, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.