Flower Pollination Algorithm with Fuzzy Approach for Solving Optimization Problems

In this paper, we present a new hybrid approach of flower pollination algorithm (FPA). This is a Bio-Inspired technique based on the pollination process carried out by the flowers. We used a Fuzzy inference system to adapt the probability of switching and this is the mechanism by which there is a change of global and local pollination; thus, the algorithm can explore and exploit in a different way to the original method. To validate in the best way the proposed method we present a comparison results among different optimization algorithms to evaluate the performance using a set of benchmark mathematical functions.

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