Modifications of Particle Swarm Optimization Techniques and Its Application on Stock Market: A Survey
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 3
Abstract
Particle Swarm Optimization (PSO) has become popular choice for solving complex and intricate problems which are otherwise difficult to solve by traditional methods. The usage of the Particle Swarm Optimization technique in coping with Portfolio Selection problems is the most important applications of PSO to predict the stocks that have maximum profit with minimum risk, using some common indicators that give advice of buy and sell. This paper gives the reader the state of the art of the various modifications of the PSO and study whether had been applied over the stock market or not.
Authors and Affiliations
Razan Jamous, EssamEl. Seidy , Assem Tharwat, Bayoumi Bayoum
Keywords
Related Articles
- EP ID EP148051
- DOI 10.14569/IJACSA.2015.060315
- Views 107
- Downloads 0
ComplexCloudSim: Towards Understanding Complexity in QoS-Aware Cloud Scheduling
The cloud is generally assumed to be homogeneous in most of the research efforts related to cloud resource management and the performance of cloud resource can be determined as it is predictable. However, a plethora of c...
A Survey on Smartphone-Based Accident Reporting and Guidance Systems
Every day, around the world, a large percentage of people die from road accidents and falls. One of the reasons for a person's death during accidents is the unavailability of first aid, due to the delay in informing abou...
Dimensionality Reduction technique using Neural Networks – A Survey
A self-organizing map (SOM) is a classical neural network method for dimensionality reduction. It comes under the unsupervised class. SOM is a neural network that is trained using unsupervised learning to produce a...
BYOD Implementation Factors in Schools: A Case Study in Malaysia
The Bring Your Own Device (BYOD) initiative has been implemented widely in developed countries as a mechanism to prepare the students for the 4th industrial revolution. Success stories of the initiative vary depending on...
Feedback Optimal Control of Low-thrust Orbit Transfer in Central Gravity Field
Low-thrust trajectories with variable radial thrust is studied in this paper. The problem is tackled by solving the Hamilton- Jacobi-Bellman equation via State Dependent Riccati Equation( STDE) technique devised for nonl...