Comparing of outcome as a result of simulation among genetic algorithm, basic particle swarm optimization and dissipative particle swarm optimization shows the superiority of the sentient particle swarm optimization inits capability of exploiting, cooperating between global and local searching.
通过仿真与遗传算法、基本的微粒群算法、耗散式微粒群算法的计算结果作对比，验证了具有感觉的微粒群算法优越的开发能力、全局局部搜索协调的能力。
参考来源 - 群体智能若干算法研究C - regularized semigroups of contractions; C - dissipative operators; generators; perturbation; M/M/1 queueing model; C_0-semigroups; positive solution; spectrum set.
压缩C-正则半群; C-耗散算子; 生成元; 扰动; M／M／1排队模型; C_0-半群; 正解; 谱集; 谱半径。
参考来源 - 正则算子半群的扰动及其在M/M/1排队模型中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
In this course, Prigogine and his theory of Dissipative Structure have played an important role.
在这个过程中，普利高津及其创立的耗散结构论扮演了不可替代的重要角色。
The order and vigor in dissipative structure accord with the goal of industry structure changing.
耗散结构的有序与活力和产业结构转换的目标是一致的。
Many nonlinear equations, describing either conservative or dissipative systems, show stochastic behaviour in suitable range of parameter values.
许多描述保守或耗散系统的非线性方程，在一定的参数范围内表现出内在的随机性。
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