The aim of this paper is to solve a variant of the vehicle routing problem with heterogeneous fleet, time windows, and multiple products (HVRPTWMP), using a novel meta-heuristic based on the behaviour of the bacteria to the stimulus of light. The meta-heuristic recreates the different processes that make a bacterium to be as close as possible to a light source, considered as the objective to reach. The problem is associated with two objectives: the minimisation of the number of vehicle and the total travelled distance. The proposed meta-heuristic was tested on instances from literature with sizes of up to 100 nodes (clients). Results show that the proposed algorithm gives good quality solutions in regard of both objective functions.