Nature-inspired algorithms are becoming powerful methods for solving many tough optimization problems. This paper proposes a recent approach for solving the channel allocation problem in optical wavelength division multiplexing (WDM) systems based on nature-inspired optimization algorithm namely Flower pollination algorithm (FPA) and its improved form by taking into consideration the concept of optimal Golomb rulers (OGRs). The improvement in FPA proposes in this paper includes the partition of entire population into several sub-populations and its hybridization with differential evolution mutation strategy. The comparative study of simulation results concludes that the proposed hybrid algorithm outperform the existing two classical algorithms, i.e., Extended quadratic congruence (EQC) and Search algorithm (SA), one of the existing nature-inspired algorithm, i.e., Genetic algorithm (GA) and its simple form.