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The evolution of strategies in n-choice social dilemma game with punishment is studied on spatial environment. This paper presents and investigates the application of co-evolutionary training techniques based on discrete particle swarm optimization (PSO) to evolve cooperation, and exploring different parameter configurations via numerical simulations. Key model parameters include the number of players,...
In the vehicle routing problem (VRP), it is usually difficult to confederate the cargo and arrange vehicles path. Due to performance reasons, the traditional shortest path algorithm can not be applied to the large scale of VRP. On the basis of the VRP mathematical model, this paper constructs a mixed climbing particle swarm algorithms to solve the problem. First, through coding, the VRP problem is...
Traditional motion controller for AUV is aiming at single degree of freedom(DOF) to decouple so it ignores the coupling effects of each DOF and it performs bad in some complex navigation states. In order to compensate the coupling effects, a novel PD controller is designed. This controller is constructed on the hydrodynamic model of AUV in six-DOFs and simplified according to the practical needs....
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