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Y. Gao, H. Xue, and P. Shen, “A new rectangle branch-and-reduce approach for solving nonconvex quadratic programming problems,” Applied Mathematics and Computation (S0096-3003), Vol. 168, pp. 1409- 1418, 2003.

has been cited by the following article:

• TITLE: Application of PPC Model Based on RAGA in Real Estate Investment Decision-Making

  AUTHORS: Shujing ZHOU, Fei WANG, Yancang LI

  KEYWORDS: Real Estate, PPC Model, Investment Decision-Making, Accelerating Genetic Algorithm

  JOURNAL NAME: Engineering, Vol.1 No.2, August 24, 2009

  ABSTRACT: According to the size of the projector function to evaluate the merits of the program, Projection Pursuit method is applied to real estate investment decision-making by using the real coding based on Accelerating Genetic Algorithm (RAGA) to optimize the Projection Pursuit Classification (PPC) process and a wide range of indicators value was projected linearly. The results are reasonable and verified with an example. At the same time, the subjective of the target weight can be avoided. It provides decision-makers with comprehensive information on all the indicators of new ideas and new methods