Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem Subject The topic of the resource Differential evolution (DE); Genetic algorithms (GA); Particle swarm optimization (PSO); Portfolio optimization; Quantum-inspired meta-heuristics Description An account of the resource Portfolio optimization has long been a challenging proposition and a widely studied topic in finance and management. It involves selecting and allocating the right assets according to the desired objectives. It has been found that this nonlinear constraint problem cannot be effectively solved using a traditional approach. This paper covers and compares quantum-inspired versions of four popular evolutionary techniques with three benchmark datasets. Genetic algorithm, differential evolution, particle swarm optimization, ant colony optimization, and their quantum-inspired incarnations are implemented, and the results are compared. Experiments have been carried out with more than 10 years of stock price data from NASDAQ, BSE, and Dow Jones. This work proposes several enhancements to allocate funds efficiently, such as improved crossover techniques and dynamic and adaptive selection of parameters. Furthermore, it is observed that the quantum-inspired techniques outperform the classical counterparts. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Gunjan A.; Bhattacharyya S. Source A related resource from which the described resource is derived Evolutionary Intelligence, Vol-17, No. 4, pp. 3061-3100. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s12065-024-00929-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12065-024-00929-4</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188552964&amp;doi=10.1007%2Fs12065-024-00929-4&amp;partnerID=40&amp;md5=73b2c2d30e7d931fec967ac8b28f2798" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188552964&amp;doi=10.1007%2fs12065-024-00929-4&amp;partnerID=40&amp;md5=73b2c2d30e7d931fec967ac8b28f2798</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 18645909 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gunjan A., Christ (Deemed to be University), Bangalore, India; Bhattacharyya S., VSB Technical University of Ostrava, Ostrava, Czech Republic, Algebra University College, Zagreb, Croatia