An Effective Hybrid Flower Pollination and Genetic Algorithm for Constrained Optimization Problems

Abstract

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.