论文信息 - The DEVS environment for high-performance modeling and simulation

The DEVS environment for high-performance modeling and simulation

DEVS-C++, a high-performance environment for modeling large-scale systems at high resolution, uses the DEVS (Discrete-EVent system Specification) formalism to represent both continuous and discrete processes. A prototype suggests that the DEVS formalism can be combined with genetic algorithms running in parallel to serve as the basis of a very general, very fast class of simulation environments.

[1] B. P. Zeigler,et al. Hierarchical Distributed Genetic Algorithms: A Fuzzy Logic Controller Design Application , 1996, IEEE Expert.

[2] Thomas Bäck,et al. An Overview of Evolutionary Algorithms for Parameter Optimization , 1993, Evolutionary Computation.

[3] Allan Gottlieb,et al. Highly parallel computing , 1989, Benjamin/Cummings Series in computer science and engineering.

[4] L. Darrell Whitley,et al. Serial and Parallel Genetic Algorithms as Function Optimizers , 1993, ICGA.

[5] B. P. Zeigler,et al. DEVS approximation of infiltration using genetic algorithm optimization of a fuzzy system , 1996 .

[6] Bernard P. Zeigler,et al. Designing fuzzy net controllers using genetic algorithms , 1995 .

[7] Thomas Maxwell,et al. Distributed modular spatial ecosystem modeling , 1995, Int. J. Comput. Simul..

[8] Zbigniew Michalewicz,et al. Genetic algorithms + data structures = evolution programs (2nd, extended ed.) , 1994 .

[9] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[10] Bernard P. Zeigler,et al. Parallel DEVS: a parallel, hierarchical, modular modeling formalism , 1994, Proceedings of Winter Simulation Conference.

[11] Bernard P. Zeigler,et al. DEVS Framework for Modelling, Simulation, Analysis, and Design of Hybrid Systems , 1994, Hybrid Systems.