home submit paper guide for authors contact us register search archive current issue journal info
   [Home ] [Archive]    
:: Volume 4, Issue 2 (5-2014) ::
2014, 4(2): 1-13 Back to browse issues page
A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems
O. Abdel-Raouf , M. Abdel-Baset , El-henawy I.
Abstract:   (13276 Views)
Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called hybrid flower pollination algorithm (FPPSO) is proposed. The method combines the standard flower pollination algorithm (FP) with the particle swarm optimization (PSO) algorithm to improve the searching accuracy. The FPPSO algorithm is used to solve constrained optimization problems. Experimental results showed that the accuracy of finding the best solution and convergence speed performance of the proposed algorithm is significantly better compared to those achieved by the existing algorithms.
Full-Text [PDF 584 kb]   (4625 Downloads)    
Type of Study: Research | Subject: Special
Received: 2014/05/30 | Accepted: 2014/05/30 | Published: 2014/05/30
Add your comments about this article
Your username or Email:

CAPTCHA code


XML     Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abdel-Raouf O, Abdel-Baset M, El-henawy. A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems. International Journal of Applied Operational Research. 2014; 4 (2) :1-13
URL: http://ijorlu.liau.ac.ir/article-1-335-en.html


Volume 4, Issue 2 (5-2014) Back to browse issues page
ژورنال بین المللی پژوهش عملیاتی International Journal of Applied Operational Research - An Open Access Journal
Persian site map - English site map - Created in 0.06 seconds with 31 queries by YEKTAWEB 3764