Hybridization of Particle Swarm Optimization - A Survey

Journal Title: International Journal of Science and Research (IJSR) - Year 2015, Vol 4, Issue 1

Abstract

Hybridization is the burning topic now-a-days. Therefore, extensive studies are taking place on this topic. It leads to more efficiency and robustness of the hybridized algorithms. Hybrid algorithms can be used to solve various set of problems like scheduling, engineering design problems, medical image processing, data clustering, geometric place optimization problems etc. In all, it can be said that hybridization is very promising technique. It offers potential advantages. Therefore, this paper describes the survey of various hybridized algorithms.

Authors and Affiliations

Keywords

Related Articles

Mapping of Gem Mineral Deposits Using GIS Technique in Salem District, Tamil Nadu, South India

Southern Indian states are endowed with rich gem mineral wealth. High potential region for the occurrence of gem deposits appear to be the Precambrian region in the Eastern Ghats. Gemstones which are of mineral origin ar...

Privacy-Preserved Search in mCL-PKE Based Secure Data Sharing over Public Clouds and Credential Trust Management through SMTP Communication

With the fast prominence of cloud computing architecture, public key cryptography exhibit certificate revocation problem and in the case of identity based encryption there exist a key escrow problem. Certificateless publ...

Carbon Financing for Renewable Energy Projects in Zimbabwe

The purpose of the research was to determine the availability of alternative carbon revenue for renewable energy schemes in Zimbabwe taking Chipendeke Micro Hydro Scheme as a case study for the research. The research was...

Present Scenario of Teacher Education in India

This article attempts to examine the present scenario of teacher education and quality of teachers. India has one of the largest systems of teacher education in the world. Besides the university departments of education...

Optimal Artificial Neural Network Modeling of Sedimentation yield and Runoff in high flow season of Indus River at Besham Qila for Terbela Dam

Optimal Artificial Neural Network Modeling of Sedimentation yield and Runoff in high flow season of Indus River at Besham Qila for Terbela Dam

Download PDF file
  • EP ID EP341688
  • DOI -
  • Views 49
  • Downloads 0

How To Cite

(2015). Hybridization of Particle Swarm Optimization - A Survey. International Journal of Science and Research (IJSR), 4(1), -. https://europub.co.uk/articles/-A-341688