메뉴 건너뛰기




Volumn 6464 LNAI, Issue , 2010, Pages 253-262

An encoding scheme for cooperative coevolutionary feedforward neural networks

Author keywords

cooperative coevolution; evolutionary algorithms; Feedforward neural networks

Indexed keywords

CO-EVOLUTIONARY; COOPERATIVE CO-EVOLUTION; ENCODING SCHEMES; FEED-FORWARD; FUNCTIONAL PROPERTIES;

EID: 78650786701     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17432-2_26     Document Type: Conference Paper
Times cited : (25)

References (12)
  • 2
    • 44949109048 scopus 로고    scopus 로고
    • Large scale evolutionary optimization using cooperative coevolution
    • Yang, Z., Tang, K., Yao, X.: Large scale evolutionary optimization using cooperative coevolution. Inf. Sci. 178(15), 2985-2999 (2008)
    • (2008) Inf. Sci. , vol.178 , Issue.15 , pp. 2985-2999
    • Yang, Z.1    Tang, K.2    Yao, X.3
  • 3
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • Potter, M.A., De Jong, K.A.: Cooperative coevolution: An architecture for evolving coadapted subcomponents. Evol. Comput. 8(1), 1-29 (2000)
    • (2000) Evol. Comput. , vol.8 , Issue.1 , pp. 1-29
    • Potter, M.A.1    De Jong, K.A.2
  • 4
    • 33749251505 scopus 로고    scopus 로고
    • A cooperative constructive method for neural networks for pattern recognition
    • DOI 10.1016/j.patcog.2006.06.024, PII S0031320306003049
    • García-Pedrajas, N., Ortiz-Boyer, D.: A cooperative constructive method for neural networks for pattern recognition. Pattern Recogn. 40(1), 80-98 (2007) (Pubitemid 44486297)
    • (2007) Pattern Recognition , vol.40 , Issue.1 , pp. 80-98
    • Garcia-Pedrajas, N.1    Ortiz-Boyer, D.2
  • 6
    • 0036887498 scopus 로고    scopus 로고
    • Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)
    • Garcia-Pedrajas, N., Hervas-Martinez, C., Munoz-Perez, J.: Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Netw. 15(10), 1259-1278 (2002)
    • (2002) Neural Netw. , vol.15 , Issue.10 , pp. 1259-1278
    • Garcia-Pedrajas, N.1    Hervas-Martinez, C.2    Munoz-Perez, J.3
  • 7
    • 0031287711 scopus 로고    scopus 로고
    • Incremental evolution of complex general behavior
    • Gomez, F., Mikkulainen, R.: Incremental evolution of complex general behavior. Adapt. Behav. 5(3-4), 317-342 (1997)
    • (1997) Adapt. Behav. , vol.5 , Issue.3-4 , pp. 317-342
    • Gomez, F.1    Mikkulainen, R.2
  • 8
    • 21244457900 scopus 로고    scopus 로고
    • Technical Report AI-TR-03-303, PhD Thesis, Department of Computer Science, The University of Texas at Austin
    • Gomez, F.J.: Robust non-linear control through neuroevolution. Technical Report AI-TR-03-303, PhD Thesis, Department of Computer Science, The University of Texas at Austin (2003)
    • (2003) Robust Non-linear Control Through Neuroevolution
    • Gomez, F.J.1
  • 9
    • 44649193889 scopus 로고    scopus 로고
    • Accelerated neural evolution through cooperatively coevolved synapses
    • Gomez, F., Schmidhuber, J., Miikkulainen, R.: Accelerated neural evolution through cooperatively coevolved synapses. J. Mach. Learn. Res. 9, 937-965 (2008)
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 937-965
    • Gomez, F.1    Schmidhuber, J.2    Miikkulainen, R.3
  • 11
    • 0036885602 scopus 로고    scopus 로고
    • A computationally efficient evolutionary algorithm for real-parameter optimization
    • Deb, K., Anand, A., Joshi, D.: A computationally efficient evolutionary algorithm for real-parameter optimization. Evol. Comput. 10(4), 371-395 (2002)
    • (2002) Evol. Comput. , vol.10 , Issue.4 , pp. 371-395
    • Deb, K.1    Anand, A.2    Joshi, D.3
  • 12
    • 26844480248 scopus 로고    scopus 로고
    • An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems
    • CantuPaz, E., Kamath, C.: An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 35(5), 915-933 (2005)
    • (2005) IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics , vol.35 , Issue.5 , pp. 915-933
    • CantuPaz, E.1    Kamath, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.