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Volumn , Issue , 2006, Pages 1232-1239

Particle swarm optimization in dynamic pricing

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PRICING; FASTER LEARNING; HIDDEN DEMAND PARAMETERS; PARTICLE SWARM OPTIMIZATION;

EID: 34547354924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (19)
  • 1
    • 34547314820 scopus 로고    scopus 로고
    • Learning and pricing in an internet environment with binomial demands
    • A. X. Carvalho and M. L. Putemian, "Learning and pricing in an internet environment with binomial demands," Journal of Revenue and Pricing Management, vol. 3, no. 4, pp. 320-336, 2005.
    • (2005) Journal of Revenue and Pricing Management , vol.3 , Issue.4 , pp. 320-336
    • Carvalho, A.X.1    Putemian, M.L.2
  • 4
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm - explosion, stability, and convergence in a multidimensional complex space
    • M. Clerc and J. Kennedy, "The particle swarm - explosion, stability, and convergence in a multidimensional complex space." IEEE Trans. Evolutionary Computation, vol. 6, no. 1, pp. 58-73, 2002.
    • (2002) IEEE Trans. Evolutionary Computation , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 6
    • 0030305926 scopus 로고    scopus 로고
    • Pricing decisions under demand uncertainty: A Bayesian mixture model approach
    • K. Kalyanam, "Pricing decisions under demand uncertainty: A Bayesian mixture model approach," Marketing Science, vol. 15, no. 3, pp. 207-221, 1996.
    • (1996) Marketing Science , vol.15 , Issue.3 , pp. 207-221
    • Kalyanam, K.1
  • 8
    • 1542325048 scopus 로고    scopus 로고
    • A new methodology for emergent system identification using particle swarm optimization (PSO) and the group method data handling (GMDH)
    • New York, New York, USA, July
    • M. S. Voss and X. Feng, "A new methodology for emergent system identification using particle swarm optimization (PSO) and the group method data handling (GMDH)," in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), New York, New York, USA, July 2002, pp. 1227-1232.
    • (2002) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002) , pp. 1227-1232
    • Voss, M.S.1    Feng, X.2
  • 9
    • 4344560137 scopus 로고    scopus 로고
    • A particle swarm model for tracking multiple peaks in a dynamic environment using speciatlon
    • Portland, Oregon: IEEE Press, 20-23 June
    • D. Parrott and X. Li, "A particle swarm model for tracking multiple peaks in a dynamic environment using speciatlon," in Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC 2004). Portland, Oregon: IEEE Press, 20-23 June 2004, pp. 98-103.
    • (2004) Proceedings of the 2004 IEEE Congress on Evolutionary Computation (CEC 2004) , pp. 98-103
    • Parrott, D.1    Li, X.2
  • 10
    • 35048898017 scopus 로고    scopus 로고
    • Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization
    • X. Li, "Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization." in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2004), 2004, pp. 105-116.
    • (2004) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2004) , pp. 105-116
    • Li, X.1
  • 14
  • 15
    • 84901462973 scopus 로고    scopus 로고
    • Comparing particle swarms for tracking extrema in dynamic environments
    • Newport Beach, California, USA
    • X. Li and K. H. Dam, "Comparing particle swarms for tracking extrema in dynamic environments," in IEEE Congress on Evolutionary Computation (CEC 2003), vol. 3, Newport Beach, California, USA, 2003, pp. 1772-1779.
    • (2003) IEEE Congress on Evolutionary Computation (CEC 2003) , vol.3 , pp. 1772-1779
    • Li, X.1    Dam, K.H.2
  • 16
    • 84901417404 scopus 로고    scopus 로고
    • Adaptive particle swarm optimisation: Detection and response to dynamic systems
    • Honolulu, Hawaii, USA
    • X. Hu and R. C. Eberhart, "Adaptive particle swarm optimisation: Detection and response to dynamic systems," in IEEE Congress on Evolutionary Computation (CEC 2002), vol. 2, Honolulu, Hawaii, USA, 2002,' pp. 1666-1670.
    • (2002) IEEE Congress on Evolutionary Computation (CEC 2002) , vol.2 , pp. 1666-1670
    • Hu, X.1    Eberhart, R.C.2
  • 17
    • 78650053346 scopus 로고    scopus 로고
    • Tracking changing extrema with adaptive particle swarm optimizer
    • Orlando, Florida, USA
    • A. Carlisle and G. Dozier, "Tracking changing extrema with adaptive particle swarm optimizer," in 5th Biannual World Automation Congress, Orlando, Florida, USA, 2002, pp. 265-270.
    • (2002) 5th Biannual World Automation Congress , pp. 265-270
    • Carlisle, A.1    Dozier, G.2
  • 19


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.