, accompanied by Genetic Algorithms (GAs) to optimize the solution to tackle a multi-objective optimization problem. Our solution …

Subspace algorithms like canonical variate analysis (CVA) are regression-based methods for the estimation of linear …

This paper presents the Theory of Forgotten Effects, which has shown significant promise in developing algorithms … formulation of humanistic algorithms capable of addressing diverse social challenges effectively and comprehensively. …

Algorithms pose interesting challenges to competition law, particularly discussing which practices involving this fast …-driven pricing algorithms become increasingly prevalent across various industries, they offer significant efficiencies to firms and …, at least in theory, it is argued that algorithms may achieve "collusive" outcomes without being programmed to do so but …