:: 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
Abstract:   (18723 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.
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Type of Study: Research | Subject: Special
Received: 2014/05/30 | Accepted: 2014/05/30 | Published: 2014/05/30


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Volume 4, Issue 2 (5-2014) Back to browse issues page