ItemBook Chapter

Multiobjective portfolio optimization using multilevel quantum inspired optimization algorithms: a comparative study

Title
Multiobjective portfolio optimization using multilevel quantum inspired optimization algorithms: a comparative study
Creator
Gunjan, Abhishek; Bhattacharyya, Siddhartha
Description
The study of portfolio optimization has been a significant focus for computer science and finance researchers, with frequent publication of innovative methods. Numerous works have illustrated that conventional approaches like quadratic programming struggle with nonlinear constraints. This chapter compares ant colony optimization and particle swarm intelligence optimization within classical and quantum inspired frameworks, utilizing qubits and qutrits. This study analyzes benchmark datasets from the NASDAQ, Dow Jones, and BSE spanning over a decade. A pioneering effort has been made to develop a multiobjective portfolio optimization technique through a multilevel quantum inspired optimization algorithm. The experimental results demonstrate that the quantum inspired metaheuristic technique that utilizes qutrits slightly outperforms classical and qubit based quantum inspired methods. 2026 Elsevier Inc. All rights reserved.
Source
Multilevel Quantum Metaheuristics: Applications in Data Exploration;pp.155-204
Date
01-01-2026
Publisher
Elsevier
Subject
evolutionary algorithm; multilevel quantum-inspired techniques; Portfolio optimization; quantum-inspired ant colony optimization (QiACO); quantum-inspired particle swarm optimization (QiPSO)
Coverage
Gunjan A., Christ (Deemed to be) University, Karnataka, Bangalore, India; Bhattacharyya S., VSB Technical University of Ostrava, Ostrava, Czech Republic, Algebra Bernays University, Zagreb, Croatia
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-044333136-7; 978-044333137-4;
Format
online
Language
English
Type
Book chapter

Citation

Gunjan, Abhishek; Bhattacharyya, Siddhartha, “Multiobjective portfolio optimization using multilevel quantum inspired optimization algorithms: a comparative study,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24228.

Output Formats