We introduced the work on parallel problem solvers from physics and biology being developed by the research team at the State Key Laboratory of Software Engineering, Wuhan University. Results on parallel solvers inclu...We introduced the work on parallel problem solvers from physics and biology being developed by the research team at the State Key Laboratory of Software Engineering, Wuhan University. Results on parallel solvers include the following areas: Evolutionary algorithms based on imitating the evolution processes of nature for parallel problem solving, especially for parallel optimization and model-building; Asynchronous parallel algorithms based on domain decomposition which are inspired by physical analogies such as elastic relaxation process and annealing process, for scientific computations, especially for solving nonlinear mathematical physics problems. All these algorithms have the following common characteristics: inherent parallelism, self-adaptation and self-organization, because the basic ideas of these solvers are from imitating the natural evolutionary processes.展开更多
根据仿生学原理,模拟生物系统的免疫机理,设计了计算机系统安全模型GECISM(GEneral Computer Im-mune System Model).该模型由不同的代理构成,各代理模拟不同的免疫细胞的功能,通过相互协作,区分系统中的“自我”、“非我”,并消除“非...根据仿生学原理,模拟生物系统的免疫机理,设计了计算机系统安全模型GECISM(GEneral Computer Im-mune System Model).该模型由不同的代理构成,各代理模拟不同的免疫细胞的功能,通过相互协作,区分系统中的“自我”、“非我”,并消除“非我”。展开更多
基金Supported by the National Natural Science Foundation of China( No.6 0 1330 10 ,No.70 0 710 42 ,No.6 0 0 730 43) andNational Laboratory for Parallel and Distributed Processing
文摘We introduced the work on parallel problem solvers from physics and biology being developed by the research team at the State Key Laboratory of Software Engineering, Wuhan University. Results on parallel solvers include the following areas: Evolutionary algorithms based on imitating the evolution processes of nature for parallel problem solving, especially for parallel optimization and model-building; Asynchronous parallel algorithms based on domain decomposition which are inspired by physical analogies such as elastic relaxation process and annealing process, for scientific computations, especially for solving nonlinear mathematical physics problems. All these algorithms have the following common characteristics: inherent parallelism, self-adaptation and self-organization, because the basic ideas of these solvers are from imitating the natural evolutionary processes.
