本世纪五十年代,通过对化工“单元操作”(Unit Operation)的深入研究与分析综合,发现各种“单元操作”中寓有共同的原理,即均可以三种物理现象——动量传递、热量传递、质量传递来加以归纳。美国成斯康星大学的R·B·Bird率先在...本世纪五十年代,通过对化工“单元操作”(Unit Operation)的深入研究与分析综合,发现各种“单元操作”中寓有共同的原理,即均可以三种物理现象——动量传递、热量传递、质量传递来加以归纳。美国成斯康星大学的R·B·Bird率先在1958年开出了一门新课程“Transport Phenomena”。这是化学工程学科从“单元操作”往“传递过程”发展的一个转折,基此形成了一门新课程“传递过程原理”(Principles of Transport processes)。展开更多
A novel immune algorithm suitable for dynamic environments (AIDE) was proposed based on a biological immune response principle.The dynamic process of artificial immune response with operators such as immune cloning,mu...A novel immune algorithm suitable for dynamic environments (AIDE) was proposed based on a biological immune response principle.The dynamic process of artificial immune response with operators such as immune cloning,multi-scale variation and gradient-based diversity was modeled.Because the immune cloning operator was derived from a stimulation and suppression effect between antibodies and antigens,a sigmoid model that can clearly describe clonal proliferation was proposed.In addition,with the introduction of multiple populations and multi-scale variation,the algorithm can well maintain the population diversity during the dynamic searching process.Unlike traditional artificial immune algorithms,which require randomly generated cells added to the current population to explore its fitness landscape,AIDE uses a gradient-based diversity operator to speed up the optimization in the dynamic environments.Several reported algorithms were compared with AIDE by using Moving Peaks Benchmarks.Preliminary experiments show that AIDE can maintain high population diversity during the search process,simultaneously can speed up the optimization.Thus,AIDE is useful for the optimization of dynamic environments.展开更多
文摘本世纪五十年代,通过对化工“单元操作”(Unit Operation)的深入研究与分析综合,发现各种“单元操作”中寓有共同的原理,即均可以三种物理现象——动量传递、热量传递、质量传递来加以归纳。美国成斯康星大学的R·B·Bird率先在1958年开出了一门新课程“Transport Phenomena”。这是化学工程学科从“单元操作”往“传递过程”发展的一个转折,基此形成了一门新课程“传递过程原理”(Principles of Transport processes)。
基金Project(60625302) supported by the National Natural Science Foundation for Distinguished Young Scholars of ChinaProject(2009CB320603) supported by the National Basic Research Program of China+5 种基金Projects(10dz1121900,10JC1403400) supported by Shanghai Key Technologies R & D ProgramProject supported by the Fundamental Research Funds for the Central Universities in ChinaProject(200802511011) supported by the New Teacher Program of Specialized Research Fund for the Doctoral Program of Higher Education in ChinaProject(Y1090548) supported by Zhejiang Provincial Natural Science Fund,ChinaProject(2011C21077) supported by Zhejiang Technology Programme,ChinaProject(2011A610173) supported by Ningbo Natural Science Fund,China
文摘A novel immune algorithm suitable for dynamic environments (AIDE) was proposed based on a biological immune response principle.The dynamic process of artificial immune response with operators such as immune cloning,multi-scale variation and gradient-based diversity was modeled.Because the immune cloning operator was derived from a stimulation and suppression effect between antibodies and antigens,a sigmoid model that can clearly describe clonal proliferation was proposed.In addition,with the introduction of multiple populations and multi-scale variation,the algorithm can well maintain the population diversity during the dynamic searching process.Unlike traditional artificial immune algorithms,which require randomly generated cells added to the current population to explore its fitness landscape,AIDE uses a gradient-based diversity operator to speed up the optimization in the dynamic environments.Several reported algorithms were compared with AIDE by using Moving Peaks Benchmarks.Preliminary experiments show that AIDE can maintain high population diversity during the search process,simultaneously can speed up the optimization.Thus,AIDE is useful for the optimization of dynamic environments.
