A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …

) Improved Stochastic Ranking Evolution Strategy (ISRES), (iii) Multi-Level Single-Linkage (MLSL) algorithm, (iv) Stochastic … versions of TikTak, which is a multistart global optimization algorithm used in some recent economic applications. For … completeness, we add three popular local algorithms to the comparison—the Nelder-Mead downhill simplex algorithm, the Derivative …

signal, they will be used and the learning algorithm will be the same. Equity preferences alone provide no reason to alter … algorithm herself, her equity preference has no effect on the training procedure. So long as the data, however biased, contain …

We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on … released. This is a promising machine learning application because it is a concrete prediction task for which there is a large … volume of data available. Yet comparing the algorithm to the judge proves complicated. First, the data are themselves …

" algorithm that converts the dynamic programming problem into the problem of repeatedly recomputing the fixed point to a … demonstrate that a fairly complex and realistic formulation of the retirement problem can be estimated using this algorithm and a …