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Volumn 6, Issue 6, 2010, Pages 1787-1794

Polymorphic BCO for protein folding model

Author keywords

Immune genetic algorithm; Polymorphic bacterial chemotaxis optimization; Protein folding model; Standard genetic algorithm

Indexed keywords

2D LATTICE; BACTERIAL CHEMOTAXIS; COMPUTATION TIME; FORAGING BEHAVIORS; IMMUNE GENETIC ALGORITHMS; INTELLIGENT PROBLEMS; PROTEIN FOLDING SIMULATION; STANDARD GENETIC ALGORITHM;

EID: 77956946231     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (15)
  • 1
    • 77649337588 scopus 로고    scopus 로고
    • Protein-facilitated folding of group II Intron Ribozymes
    • Fedorova O, Solem A, Pyle A M. Protein-facilitated folding of group II Intron Ribozymes [J]. Journal of Molecular Biology, 2010, 397(3): 799-813.
    • (2010) Journal of Molecular Biology , vol.397 , Issue.3 , pp. 799-813
    • Fedorova, O.1    Solem, A.2    Pyle, A.M.3
  • 2
    • 70350337659 scopus 로고    scopus 로고
    • Role of naturally occurring osmolytes in protein folding and stability
    • Kumar R. Role of naturally occurring osmolytes in protein folding and stability [J]. Archives of Biochemistry and Biophysics, 2009, 491(1-2): 1-6.
    • (2009) Archives of Biochemistry and Biophysics , vol.491 , Issue.1-2 , pp. 1-6
    • Kumar, R.1
  • 3
    • 70350231771 scopus 로고    scopus 로고
    • Comparing the performance of the genetic and local search algorithms for solving the satisfiability problems
    • Kilani Y. Comparing the performance of the genetic and local search algorithms for solving the satisfiability problems [J]. Applied Soft Computing, 2010, 10(1): 198-207.
    • (2010) Applied Soft Computing , vol.10 , Issue.1 , pp. 198-207
    • Kilani, Y.1
  • 4
    • 77949486827 scopus 로고    scopus 로고
    • A genetic algorithm approach for solving the daily photograph selection problem of the SPOT5 satellite
    • Mansour M A A, Dessouky M M. A genetic algorithm approach for solving the daily photograph selection problem of the SPOT5 satellite [J]. Computers & Industrial Engineering, 2010, 58(3): 509-20.
    • (2010) Computers & Industrial Engineering , vol.58 , Issue.3 , pp. 509-20
    • Mansour, M.A.A.1    Dessouky, M.M.2
  • 5
    • 40849101433 scopus 로고    scopus 로고
    • Modeling and optimization of viscosity in enzyme-modified cheese by fuzzy logic and genetic algorithm
    • Mohebbi M, Barouei J, Akbarzadeh-T M R, et al. Modeling and optimization of viscosity in enzyme-modified cheese by fuzzy logic and genetic algorithm [J]. Computers and Electronics in Agriculture, 2008, 62(2): 260-5.
    • (2008) Computers and Electronics in Agriculture , vol.62 , Issue.2 , pp. 260-5
    • Mohebbi, M.1    Barouei, J.2    Akbarzadeh-T, M.R.3
  • 6
    • 71649088309 scopus 로고    scopus 로고
    • Analysis of the reproduction operator in an artificial bacterial foraging system
    • Biswas A, Das S, Abraham A, et al. Analysis of the reproduction operator in an artificial bacterial foraging system [J]. Applied Mathematics and Computation, 2010, 215(9): 3343-55.
    • (2010) Applied Mathematics and Computation , vol.215 , Issue.9 , pp. 3343-55
    • Biswas, A.1    Das, S.2    Abraham, A.3
  • 7
    • 37449007143 scopus 로고    scopus 로고
    • Investigations into the design principles in the chemotactic behavior of Escherichia coli
    • Kim T-H, Jung S H, Cho K-H. Investigations into the design principles in the chemotactic behavior of Escherichia coli [J]. Biosystems, 2008, 91(1): 171-82.
    • (2008) Biosystems , vol.91 , Issue.1 , pp. 171-82
    • Kim, T.-H.1    Jung, S.H.2    Cho, K.-H.3
  • 9
    • 61349086648 scopus 로고    scopus 로고
    • Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network
    • Yudong Z, Lenan W. Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network [J]. Expert Systems with Applications, 2009, 36(5): 8849-54.
    • (2009) Expert Systems with Applications , vol.36 , Issue.5 , pp. 8849-54
    • Yudong, Z.1    Lenan, W.2
  • 11
    • 34548162153 scopus 로고    scopus 로고
    • Application of bacterial foraging technique trained artificial and wavelet neural networks in load forecasting
    • Ulagammai M, Venkatesh P, Kannan P S, et al. Application of bacterial foraging technique trained artificial and wavelet neural networks in load forecasting [J]. Neurocomputing, 2007, 70(16-18): 2659-67.
    • (2007) Neurocomputing , vol.70 , Issue.16-18 , pp. 2659-67
    • Ulagammai, M.1    Venkatesh, P.2    Kannan, P.S.3
  • 12
    • 64449083005 scopus 로고    scopus 로고
    • Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques
    • Majhi R, Panda G, Majhi B, et al. Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques [J]. Expert Systems with Applications, 2009, 36(6): 10097-104.
    • (2009) Expert Systems with Applications , vol.36 , Issue.6 , pp. 10097-104
    • Majhi, R.1    Panda, G.2    Majhi, B.3
  • 13
    • 54549102444 scopus 로고    scopus 로고
    • A novel technique for multilevel optimal magnetic resonance brain image thresholding using bacterial foraging
    • Maitra M, Chatterjee A. A novel technique for multilevel optimal magnetic resonance brain image thresholding using bacterial foraging [J]. Measurement, 2008, 41(10): 1124-34.
    • (2008) Measurement , vol.41 , Issue.10 , pp. 1124-34
    • Maitra, M.1    Chatterjee, A.2
  • 14
    • 77949488847 scopus 로고    scopus 로고
    • Effects of finite register length on fast ICA, bacterial foraging optimization based ICA and constrained genetic algorithm based ICA algorithm
    • Acharya D P, Panda G, Lakshmi Y V S. Effects of finite register length on fast ICA, bacterial foraging optimization based ICA and constrained genetic algorithm based ICA algorithm [J]. Digital Signal Processing, 2010, 20(3): 964-75.
    • (2010) Digital Signal Processing , vol.20 , Issue.3 , pp. 964-75
    • Acharya, D.P.1    Panda, G.2    Lakshmi, Y.V.S.3
  • 15
    • 70649086175 scopus 로고    scopus 로고
    • Hardware-friendly higher-order neural network training using distributed evolutionary algorithms
    • Epitropakis M G, Plagianakos V P, Vrahatis M N. Hardware-friendly higher-order neural network training using distributed evolutionary algorithms [J]. Applied Soft Computing, 2010, 10(2): 398-408.
    • (2010) Applied Soft Computing , vol.10 , Issue.2 , pp. 398-408
    • Epitropakis, M.G.1    Plagianakos, V.P.2    Vrahatis, M.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.