A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems

Authors

  • Osama Abdel-Raouf Department of Operations Research, faculty of Computers and Information, Menoufia University, Menoufia, Shebin-el-Kome, Egypt
  • Mohamed Abdel-Baset Department of Operations Research, faculty of Computers and Informatics, Zagazig University, El-Zera Square, Zagazig, Sharqiyah, Egypt
  • Ibrahim El-henawy Department of Computer Science, faculty of Computers and Informatics, Zagazig University, El-Zera Square, Zagazig, Sharqiyah, Egypt

Keywords:

Flower pollination algorithm, hybrid optimization, global optimization, particle swarm optimization, Constrained Optimization.

Abstract

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.

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Published

2026-01-23

Issue

Vol. 3 No. 02 (2014): May. 2014

Section

Articles