A hybrid cat swarm optimization - crow search algorithm for vehicle routing problem with time windows

Abstract

Vehicle Routing Problem with Time Windows (VRPTW) is known as scheduling problems of vehicles with a time interval which the extensions of VRP. The problem discuss the distribution of products between a depot and customers. This paper proposes a hybrid algorithm between Cat Swarm Optimization (CSO) and Crow Search (CS) to solve VRPTW. The CS algorithm helps the complexity of CSO algorithm to obtain the best solution. The memorized procedure of CS is applied in CSO. Simulation results show that CSO-CS algorithm is an alternative procedure for solving VRPTW. The better performance is obtained when number of population increased and the cdc decreased.