In this chapter, the original probabilistic model (OPM) is proposed by a novel probabilistic optimization model for most probable point MPP search in original space for interval basic random variables. The novel MPP search approach is formulated by using joint cumulative distribution function (CDF) of basic random variables in X-space. In novel searching MPP, an individual MPP can be provided for multi-MPP problems. Then, four harmony search (HS) methods as a music-inspired formulated by human-based optimization methods named HS, global-best HS, improved HS gaussian global-best HS are applied for searching MPP computed by the proposed novel original probabilistic model.

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Original-Space Search for FORM

  • Shun-Peng Zhu,
  • Behrooz Keshtegar

摘要

In this chapter, the original probabilistic model (OPM) is proposed by a novel probabilistic optimization model for most probable point MPP search in original space for interval basic random variables. The novel MPP search approach is formulated by using joint cumulative distribution function (CDF) of basic random variables in X-space. In novel searching MPP, an individual MPP can be provided for multi-MPP problems. Then, four harmony search (HS) methods as a music-inspired formulated by human-based optimization methods named HS, global-best HS, improved HS gaussian global-best HS are applied for searching MPP computed by the proposed novel original probabilistic model.