Bio-inspired machine learning for distributed confidential multi-portfolio selection problem

HIGHLIGHTS

  • who: Ameer Tamoor Khan and colleagues from the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China have published the Article: Bio-Inspired Machine Learning for Distributed Confidential Multi-Portfolio Selection Problem, in the Journal: Biomimetics 2022, 124 of /2022/
  • what: Since privacy is of major concern these days in this paper the authors propose a variant of Beetle Antennae Search (BAS) known as Distributed Beetle Antennae Search (DBAS) to optimize problems without violating the privacy of individual portfolios. The aim of the mean variance model is to minimize the risk involved in . . .

     

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