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Volumn , Issue , 2013, Pages 351-365

Artificial Plant Optimization Algorithm

Author keywords

Apical dominance phenomenon; Artificial neural network training; Artificial plant optimization algorithm; Photosynthesis phenomenon; Phototropism phenomenon; Protein folding

Indexed keywords


EID: 84884035470     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-405163-8.00016-8     Document Type: Chapter
Times cited : (22)

References (22)
  • 1
    • 33749548848 scopus 로고    scopus 로고
    • Prokaryotic photosynthesis and phototrophy illuminate
    • Bryant D.A., Frigaard N.U. Prokaryotic photosynthesis and phototrophy illuminate. Trends Microbiol. 2006, 14(11):488-496.
    • (2006) Trends Microbiol. , vol.14 , Issue.11 , pp. 488-496
    • Bryant, D.A.1    Frigaard, N.U.2
  • 2
    • 84857182770 scopus 로고    scopus 로고
    • Optimal coverage configuration with social emotional optimisation algorithm in wireless sensor networks
    • Cui Z.H., Cai X.J. Optimal coverage configuration with social emotional optimisation algorithm in wireless sensor networks. Inter. J. Wireless Mobile Comput. 2011, 5(1):43-47.
    • (2011) Inter. J. Wireless Mobile Comput. , vol.5 , Issue.1 , pp. 43-47
    • Cui, Z.H.1    Cai, X.J.2
  • 4
    • 84860763039 scopus 로고    scopus 로고
    • A new stochastic algorithm to direct orbits of chaotic systems
    • Cui Z.H., Cai X.J., Zeng J.C. A new stochastic algorithm to direct orbits of chaotic systems. Inter. J. Comput. Appl. Technol. 2012, 43(4):366-371.
    • (2012) Inter. J. Comput. Appl. Technol. , vol.43 , Issue.4 , pp. 366-371
    • Cui, Z.H.1    Cai, X.J.2    Zeng, J.C.3
  • 5
    • 84872404442 scopus 로고    scopus 로고
    • Using splitting artificial plant optimization algorithm to solve toy model of protein folding
    • Cui Z.H., Liu D.M., Zeng J.C, Shi Z.Z. Using splitting artificial plant optimization algorithm to solve toy model of protein folding. J. Comput. Theor. Nanosci. 2012, 9(12):2255-2259.
    • (2012) J. Comput. Theor. Nanosci. , vol.9 , Issue.12 , pp. 2255-2259
    • Cui, Z.H.1    Liu, D.M.2    Zeng, J.C.3    Shi, Z.Z.4
  • 6
    • 68349154657 scopus 로고    scopus 로고
    • Seeker optimization algorithm for optimal reactive power dispatch
    • Dai C.H., Chen W.R., Zhu Y.F., Zhang X.X. Seeker optimization algorithm for optimal reactive power dispatch. IEEE Trans. Power Syst. 2009, 24(3):1218-1231.
    • (2009) IEEE Trans. Power Syst. , vol.24 , Issue.3 , pp. 1218-1231
    • Dai, C.H.1    Chen, W.R.2    Zhu, Y.F.3    Zhang, X.X.4
  • 7
    • 0022423920 scopus 로고
    • Theory for the folding and stability of globular proteins
    • Dill K.A. Theory for the folding and stability of globular proteins. Biochemistry 1985, 24(6):1501-1509.
    • (1985) Biochemistry , vol.24 , Issue.6 , pp. 1501-1509
    • Dill, K.A.1
  • 8
    • 33846280533 scopus 로고    scopus 로고
    • Ant colony optimization-artificial ants as a computational intelligence technique
    • Dorigo M., Birattari M., Stutzle T. Ant colony optimization-artificial ants as a computational intelligence technique. IEEE Comput. Intell. Mag. 2006, 1(4):28-39.
    • (2006) IEEE Comput. Intell. Mag. , vol.1 , Issue.4 , pp. 28-39
    • Dorigo, M.1    Birattari, M.2    Stutzle, T.3
  • 10
    • 84864403130 scopus 로고    scopus 로고
    • Krill herd: a new bio-inspired optimization algorithm
    • Gandomi A.H., Alavi A.H. Krill herd: a new bio-inspired optimization algorithm. Commun. Nonlinear Sci. Numer. Simul. 2012, 17(12):4831-4845.
    • (2012) Commun. Nonlinear Sci. Numer. Simul. , vol.17 , Issue.12 , pp. 4831-4845
    • Gandomi, A.H.1    Alavi, A.H.2
  • 11
    • 77953822092 scopus 로고    scopus 로고
    • Training artificial neural networks using Lévy group search optimizer
    • He S. Training artificial neural networks using Lévy group search optimizer. J. Mult. Valued Logic Soft Comput. 2010, 6(6):527-545.
    • (2010) J. Mult. Valued Logic Soft Comput. , vol.6 , Issue.6 , pp. 527-545
    • He, S.1
  • 13
    • 0037276988 scopus 로고    scopus 로고
    • Tuning of the structure and parameters of a neural network using an improved genetic algorithm
    • Leung F.H.F., Lam H.K., Ling S.H., Tam P.K.S. Tuning of the structure and parameters of a neural network using an improved genetic algorithm. IEEE Trans. Neural Netw. 2003, 14(1):79-88.
    • (2003) IEEE Trans. Neural Netw. , vol.14 , Issue.1 , pp. 79-88
    • Leung, F.H.F.1    Lam, H.K.2    Ling, S.H.3    Tam, P.K.S.4
  • 14
    • 14344262310 scopus 로고    scopus 로고
    • A global optimization bionics algorithm for solving integer programming-plant growth simulation algorithm
    • (in Chinese)
    • Li T., Wang C.F., Wang W.B., Su W.L. A global optimization bionics algorithm for solving integer programming-plant growth simulation algorithm. Syst. Eng. Theory Appl. 2005, 1(1):76-85. (in Chinese).
    • (2005) Syst. Eng. Theory Appl. , vol.1 , Issue.1 , pp. 76-85
    • Li, T.1    Wang, C.F.2    Wang, W.B.3    Su, W.L.4
  • 15
    • 0034307109 scopus 로고    scopus 로고
    • Finite element inverse analysis using a photosynthetic algorithm
    • Murase H. Finite element inverse analysis using a photosynthetic algorithm. Comput. Electron. Agric. 2009, 29(1-2):115-123.
    • (2009) Comput. Electron. Agric. , vol.29 , Issue.1-2 , pp. 115-123
    • Murase, H.1
  • 16
    • 79952657488 scopus 로고    scopus 로고
    • Comparison of a new model of light response of photosynthesis with traditional models
    • (in Chinese)
    • Piao Y.Z., Qiang Y. Comparison of a new model of light response of photosynthesis with traditional models. J. Shenyang Agric. Univ. 2007, 38(6):771-775. (in Chinese).
    • (2007) J. Shenyang Agric. Univ. , vol.38 , Issue.6 , pp. 771-775
    • Piao, Y.Z.1    Qiang, Y.2
  • 19
    • 0242622911 scopus 로고
    • Collective aspects of protein folding illustrated by a toy model
    • Stillinger F.H., Gordon T.H. Collective aspects of protein folding illustrated by a toy model. Phys. Rev. E 1995, 52(3):2872-2877.
    • (1995) Phys. Rev. E , vol.52 , Issue.3 , pp. 2872-2877
    • Stillinger, F.H.1    Gordon, T.H.2
  • 21
    • 79953855364 scopus 로고    scopus 로고
    • Firefly algorithm, stochastic test functions and design optimization
    • Yang X.S. Firefly algorithm, stochastic test functions and design optimization. Inter. J. Bio-Inspired Comput. 2010, 2(2):78-84.
    • (2010) Inter. J. Bio-Inspired Comput. , vol.2 , Issue.2 , pp. 78-84
    • Yang, X.S.1
  • 22
    • 0031143030 scopus 로고    scopus 로고
    • A new evolutionary system for evolving artificial neural networks
    • Yao X., Liu Y. A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Netw. 1999, 8(3):694-713.
    • (1999) IEEE Trans. Neural Netw. , vol.8 , Issue.3 , pp. 694-713
    • Yao, X.1    Liu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.