A derivative free multidimensional optimal search method using Lucas number

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摘要

We consider a unimodal continuous function of N variables over an N-dimensional rectangular parallelopiped and explain a search method to find the domain of uncertainty which contains the point that maximizes the function. Our search method does not require differentiability assumption. The function is projected along each dimension. An algorithm is developed to eliminate the subset of the domain at each step, which does not contain the solution. Lucas numbers are used in the elimination process.

论文关键词:Multidimensional optimization problem,Unimodal function,Lucas number,Derivative free search method

论文评审过程:Available online 16 February 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2012.10.076