PSO-3P for the portfolio optimisation problem Online publication date: Wed, 01-Aug-2018
by José Carlos Javier Velasco; Sergio Gerardo De-los-Cobos-Silva; Eric Alfredo Rincón-García; Miguel Ángel Gutiérrez-Andrade; Roman Anselmo Mora-Gutiérrez; Antonin Ponsich; Pedro Lara-Velázquez
International Journal of Business Continuity and Risk Management (IJBCRM), Vol. 8, No. 3, 2018
Abstract: Identifying risks and opportunities in an investment is an important issue for investors. There are different strategies used to maximise profits and minimise the risk. However, some problems cannot be efficiently solved using classical techniques of operations research. Thus, heuristic approach seems to be a good option to find high quality solutions in a limited amount of time. We propose a new variant of particle swarm optimisation named PSO-3P to solve the constrained portfolio optimisation problem. The proposed algorithm was tested over five well-known benchmark data sets and the obtained results proved to be highly competitive since they outperform those reported in the specialised literature in almost all tackled instances.
Online publication date: Wed, 01-Aug-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Continuity and Risk Management (IJBCRM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com