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An Effective Hybrid Flower Pollination and Genetic Algorithm for Constrained Optimization Problems |
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PP: 27-34 |
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Author(s) |
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Mohamed Abdel-Baset,
Ibrahim M. Hezam,
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Abstract |
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| Flower pollination algorithm (FPA) 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 with genetic (FPA-GA) is proposed. The method combines the standard flower pollination algorithm (FPA) with the genetic (GA) algorithm to improve the searching accuracy. The FPA-GA algorithm is used to solve constrained optimization problems. To verify the performance of FPA-GA, seven benchmark optimization problems chosen from literature are employed. Experimental results indicate that the proposed method performs better than, or at least comparable to state-of-the-art methods from literature when considering the quality of the solutions obtained. Experimental results further demonstrate the proposed method is very effective. |
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