Damping Search Algorithm for Multi-objective Optimization Problems

摘要

An algorithm based on damped vibration for multi-objective optimization problems is proposed in this paper. This algorithm makes use of the concept of damped vibration to do local search to find optimal solutions. The concept of Pareto Dominance is used to determine whether a solution is optimal. Meanwhile, the use of many random vibrators and the randomness of the initial maximum displacement ensure that the solutions are global. Simulation results show that the damping search algorithm is efficient in finding more solutions and also have good convergence and solution diversity.