Quantum beetle antennae search: a novel technique for the constrained portfolio optimization problem
Abstract
In this paper, we have formulated quantum beetle antennae search (QBAS), a meta-heuristic optimization algorithm, and a variant of beetle antennae search (BAS). We apply it to portfolio selection, a well-known finance problem. Quantum computing is gaining immense popularity among the scientific community as it outsmarts the conventional computing in efficiency and speed. All the traditional computing algorithms are not directly compatible with...
Paper Details
Title
Quantum beetle antennae search: a novel technique for the constrained portfolio optimization problem
Published Date
Mar 17, 2021
Volume
64
Issue
5
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