메뉴 건너뛰기




Volumn 16, Issue 3, 2007, Pages 235-247

An ant colony optimization algorithm for continuous optimization: Application to feed-forward neural network training

Author keywords

Ant colony optimization; Continuous optimization; Feed forward neural network training

Indexed keywords


EID: 34547535038     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-007-0084-z     Document Type: Article
Times cited : (248)

References (38)
  • 1
    • 35048869659 scopus 로고    scopus 로고
    • Training neural networks with GA hybrid algorithms
    • Deb K et al. (ed) Proceedings of the genetic and evolutionary computation conference-GECCO 2004 Springer, Berlin
    • Alba E, Chicano JF (2004) Training neural networks with GA hybrid algorithms. In: Deb K et al. (ed) Proceedings of the genetic and evolutionary computation conference-GECCO 2004, volume 3102 of Lecture Notes in Computer Science. Springer, Berlin, pp 852-863
    • (2004) Lecture Notes in Computer Science , vol.3102 , pp. 852-863
    • Alba, E.1    Chicano, J.F.2
  • 3
    • 84958981421 scopus 로고
    • The ant colony metaphor for searching continuous design spaces
    • Proceedings of the AISB workshop on evolutionary computation
    • Bilchev B, Parmee IC (1995) The ant colony metaphor for searching continuous design spaces. In: Proceedings of the AISB workshop on evolutionary computation, volume 993 of Lecture Notes in Computer Science, pp 25-39
    • (1995) Lecture Notes in Computer Science , vol.993 , pp. 25-39
    • Bilchev, B.1    Parmee, I.C.2
  • 5
    • 14644421108 scopus 로고    scopus 로고
    • A racing algorithm for configuring metaheuristics
    • Langdon WB et al. (eds) Morgan Kaufman, San Francisco
    • Birattari M, Stützle T, Paquete L, Varrentrapp K (2002) A racing algorithm for configuring metaheuristics. In: Langdon WB et al. (eds) Proceedings of the genetic and evolutionary computation conference. Morgan Kaufman, San Francisco, pp 11-18
    • (2002) Proceedings of the Genetic and Evolutionary Computation Conference , pp. 11-18
    • Birattari, M.S.1
  • 7
    • 28944441923 scopus 로고    scopus 로고
    • Training feed-forward neural networks with ant colony optimization: An application to pattern classification
    • Nedjah N, Mourelle LM, Vellasco MMBR, Abraham A, Köppen M (eds) IEEE Computer Society
    • Blum C, Socha K (2005) Training feed-forward neural networks with ant colony optimization: An application to pattern classification. In: Nedjah N, Mourelle LM, Vellasco MMBR, Abraham A, Köppen M (eds) Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (HIS). IEEE Computer Society, pp 233-238
    • (2005) Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (HIS) , pp. 233-238
    • Blum, C.1    Socha, K.2
  • 9
    • 0011876133 scopus 로고    scopus 로고
    • Bosman and Dirk Thierens. Continuous iterated density estimation evolutionary algorithms within the IDEA framework
    • Pelikan M, Mühlenbein H, Rodriguez AO (eds) Morgan-Kaufmann Publishers, San Francisco
    • Peter AN (2000) Bosman and Dirk Thierens. Continuous iterated density estimation evolutionary algorithms within the IDEA framework. In: Pelikan M, Mühlenbein H, Rodriguez AO (eds) Proceedings of OBUPM Workshop at GECCO-2000. Morgan-Kaufmann Publishers, San Francisco, pp 197-200
    • (2000) Proceedings of OBUPM Workshop at GECCO-2000 , pp. 197-200
    • Peter, A.N.1
  • 10
    • 0001541731 scopus 로고
    • A note on the generation of random normal deviates
    • 2
    • Box GEP, Muller ME (1958) A note on the generation of random normal deviates. Ann Math Stat 29(2):610-611
    • (1958) Ann Math Stat , vol.29 , pp. 610-611
    • Box, G.E.P.1    Muller, M.E.2
  • 16
    • 84974695665 scopus 로고    scopus 로고
    • A new ant colony algorithm using the heterarchical concept aimed at optimization of multiminima continuous functions
    • Dorigo M, Di Caro G, Sampels M (eds) Proceedings of ANTS 2002 - from ant colonies to artificial ants: third international workshop on ant algorithms Springer, Berlin
    • Dréo J, Siarry P (2002) A new ant colony algorithm using the heterarchical concept aimed at optimization of multiminima continuous functions. In: Dorigo M, Di Caro G, Sampels M (eds) Proceedings of ANTS 2002 - from ant colonies to artificial ants: third international workshop on ant algorithms, vol 2463 of lecture notes in computer science, Springer, Berlin, pp 216-221
    • (2002) Lecture Notes in Computer Science , vol.2463 , pp. 216-221
    • Dréo, J.S.1
  • 19
    • 28944446977 scopus 로고    scopus 로고
    • Solving multi-objective permutation problems with population based ACO
    • Fonseca CM, Fleming PJ, Zitzler E, Deb K, Thiele L (eds), Proceedings of the second international conference on evolutionary multi-criterion optimization (EMO 2003) Springer, Berlin
    • Guntsch M, Middendorf M (2003) Solving multi-objective permutation problems with population based ACO. In: Fonseca CM, Fleming PJ, Zitzler E, Deb K, Thiele L (eds) Proceedings of the second international conference on evolutionary multi-criterion optimization (EMO 2003), vol 2636 of lecture notes in computer science. Springer, Berlin, pp 464-478
    • (2003) Lecture Notes in Computer Science , vol.2636 , pp. 464-478
    • Guntsch, M.1    Middendorf, M.2
  • 20
    • 0028543366 scopus 로고
    • Training feedforward networks with the marquardt algorithm
    • 6
    • Hagan MT, Menhaj MB (1994) Training feedforward networks with the marquardt algorithm. IEEE Trans Neural Netw 5(6):989-993
    • (1994) IEEE Trans Neural Netw , vol.5 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2
  • 21
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • 2
    • Hansen N, Ostermeier A (2001) Completely derandomized self-adaptation in evolution strategies. Evol Comput 9(2):159-195
    • (2001) Evol Comput , vol.9 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 24
    • 0036131572 scopus 로고    scopus 로고
    • A comparison of evolution strategies and backpropagation for neural network training
    • 1
    • Mandischer M (2002) A comparison of evolution strategies and backpropagation for neural network training. Neurocomputing 42(1):87-117
    • (2002) Neurocomputing , vol.42 , pp. 87-117
    • Mandischer, M.1
  • 30
    • 0141578397 scopus 로고
    • Learning representations by backpropagation errors
    • Rumelhart D, Hinton G, Williams R (1986) Learning representations by backpropagation errors. Nature 536:323-533
    • (1986) Nature , vol.536 , pp. 323-533
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 31
    • 77049083677 scopus 로고    scopus 로고
    • Extended ACO for continuous and mixed-variable optimization
    • Dorigo M, Birattari M, Blum C, Gambardella LM, Mondada F, Stützle T (eds) Proceedings of ANTS 2004 - fourth international workshop on ant algorithms and swarm intelligence Springer, Berlin
    • Socha K (2004) Extended ACO for continuous and mixed-variable optimization. In: Dorigo M, Birattari M, Blum C, Gambardella LM, Mondada F, Stützle T (eds) Proceedings of ANTS 2004 - fourth international workshop on ant algorithms and swarm intelligence. Lecture Notes in Computer Science. Springer, Berlin
    • (2004) Lecture Notes in Computer Science
    • Socha, K.1
  • 33
    • 34547508880 scopus 로고    scopus 로고
    • Ant colony optimization for continuous domains
    • in press
    • Socha K, Dorigo M (2006) Ant colony optimization for continuous domains. Eur J Oper Res (in press)
    • (2006) Eur J Oper Res
    • Socha, K.1    Dorigo, M.2
  • 34
    • 35248861634 scopus 로고    scopus 로고
    • The influence of run-time limits on choosing ant system parameters
    • Cantu-Paz E et al. (eds) Proceedings of GECCO 2003-genetic and evolutionary computation conference Springer, Berlin
    • Socha K (2003) The influence of run-time limits on choosing ant system parameters. In: Cantu-Paz E et al. (eds) Proceedings of GECCO 2003-genetic and evolutionary computation conference, vol 2723 of LNCS. Springer, Berlin, pp 49-60
    • (2003) LNCS , vol.2723 , pp. 49-60
    • Socha, K.1
  • 35
    • 0036594106 scopus 로고    scopus 로고
    • Evolving neural networks through augmenting topologies
    • 2
    • Stanley KO, Miikulainen R (2002) Evolving neural networks through augmenting topologies. Evol Comput 10(2):99-127
    • (2002) Evol Comput , vol.10 , pp. 99-127
    • Stanley, K.O.1    Miikulainen, R.2
  • 38
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • 9
    • Yao X (1999) Evolving artificial neural networks. Proc IEEE 87(9):1423-1447
    • (1999) Proc IEEE , vol.87 , pp. 1423-1447
    • Yao, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.