<p>This paper applies a novel algorithm inspired by the multi-modal foraging behaviour of honey bee swarms to dynamic resource allocation problems. Resource allocation efficiently allocates resources to different activities according to requirements for optimal results. Real-time resource allocation problems are dynamic and are prone to parameter drifts during operation time and model sensitivities with an associated uncertainty factor with the model parameters. Mathematical optimization methods on such problems have a tolerance level associated with the design constraints, which inversely affects optimization efficiency at higher risks. The developed algorithm shows a complexity of O(mn), and the experimental results demonstrate the resilience of the proposed technique. The algorithm optimizes the objective functions in linear time and converges within a finite number of iterations.</p>