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Information Journal Paper

Title

OPTIMIZING PRODUCT DESIGN THROUGH A PARTICLE SWARM INDUCED LOGISTIC REGRESSION MODEL

Pages

  53-59

Abstract

 This paper defines how a meta heuristic search engine called P.S.O can be used to maximize the objective function of a LOGISTIC REGRESSION model, describing the relationship between the response variable (product designs' score) and a set of explanatory variables (product design factors). At the first phase the processed data, classified and categorized, by KANSIE ENGINEERING is used as input to the LOGISTIC REGRESSION model. The PSO optimization algorithm, maximizes the likelihood function, thus the parameters of the model, being the coefficients of the independent factors are estimated. After post hoc tests, the validated model, defines the relation between consumer semantic and physical product selection factors and the response variable which is a dichotomous dependent ordered variable representing product design scores.

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    Cite

    APA: Copy

    ALIZADEH ELIZE, ZOHREH, BABAZADEH, ABAS, SEYED HOSSEINI, S.M., & ALIZADEH ELIZE, ZAHRA. (2010). OPTIMIZING PRODUCT DESIGN THROUGH A PARTICLE SWARM INDUCED LOGISTIC REGRESSION MODEL. INTERNATIONAL JOURNAL OF ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY, 3(2 (10) (AN INTERNATIONAL QUARTERLY)), 53-59. SID. https://sid.ir/paper/572026/en

    Vancouver: Copy

    ALIZADEH ELIZE ZOHREH, BABAZADEH ABAS, SEYED HOSSEINI S.M., ALIZADEH ELIZE ZAHRA. OPTIMIZING PRODUCT DESIGN THROUGH A PARTICLE SWARM INDUCED LOGISTIC REGRESSION MODEL. INTERNATIONAL JOURNAL OF ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY[Internet]. 2010;3(2 (10) (AN INTERNATIONAL QUARTERLY)):53-59. Available from: https://sid.ir/paper/572026/en

    IEEE: Copy

    ZOHREH ALIZADEH ELIZE, ABAS BABAZADEH, S.M. SEYED HOSSEINI, and ZAHRA ALIZADEH ELIZE, “OPTIMIZING PRODUCT DESIGN THROUGH A PARTICLE SWARM INDUCED LOGISTIC REGRESSION MODEL,” INTERNATIONAL JOURNAL OF ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY, vol. 3, no. 2 (10) (AN INTERNATIONAL QUARTERLY), pp. 53–59, 2010, [Online]. Available: https://sid.ir/paper/572026/en

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