Parallel computingmodes of multiobjective game

摘要

For the design of multiobjective optimum decision, three methods based on parallel computing and game theory were raised to transfer the multiobjective design into the decision. Then, the multiobjective optimum design problems of numerical calculation examples, compensative sheave block, and antiseismic design of arch structures can be solved. Three parallel computing modes (ie, I, II, and III) were designed correspondingly. First, parallel mode I can make the game process visually intuitive with the disadvantage that the computing load cannot be balanced. Second, parallel mode II can better solve the imbalance of computing load between different objectives, obtain good parallel speedup and host efficiency. Furthermore, parallel mode III has the advantages of the above two parallel modes. However, its disadvantage is that data exchange between computing units is frequent, and this results in an increase in communication time. The simulation results suggest that all the parallel game algorithms can give considerations to multiple objectives, improve the seeking efficiency and make the solutions more robust.