Based upon the idea of space partition and object decomposition, topological components of an area object with holes are defined by the use of the concept of neighborhood in the point set topology, which is a natural extension of the definitions for topological components of a simple area.

本文基于空間劃分和目標分解的思想，利用點集理論中的鄰域概念詳細分析和描述帶孔洞面目標的點集拓撲分量二区视频在线，這種描述方法實質(zhì)上是簡單面目標點集拓撲分量描述的一種自然延展5060网全毛A片。

Particle swarm optimizer with neighborhood topology on particle swarm performance.

Kennedy[9]于1999年提出幾種基本的領域結構意大利色Av资源站，如環(huán)形結構和輪形結構及它們的推廣又硬又黄又粗又大又爽的视频日韩。

Experimental simulation results demonstrate that dynamic probabilistic particle swarm optimization with the varying neighborhood topology can solve complex optimization problems and escape from local optimal solutions efficiently.

實驗結果表明，基于多簇結構的可變拓撲策略在求解復雜優(yōu)化問題時優(yōu)勢明顯色哟哟免费小黄片，可以有效地避免算法陷入局部最優(yōu)啊啊啊好大爽被插乱伦视频，在保證收斂速度的同時增強了算法的全局搜索能力。

Furthermore, the information dissemination of several topologies is analyzed theoretically, and the statistical properties of canonical topologies and varying neighborhood topology are analyzed from graph theory.

針對傳統(tǒng)粒子群優(yōu)化算法中全連接型拓撲和環(huán)形拓撲的特點一级毛片网站在线观看，引入了一種粒子群信息共享方式——多簇結構国产三级盗摄视频，進而基于多簇結構提出了動態(tài)可變拓撲策略以協(xié)調(diào)動態(tài)概率粒子群優(yōu)化算法的勘探和開采能力，并從理論上分析了最優(yōu)信息在各種拓撲中的傳播欧美性爱黄片小视频，同時從圖論角度分析了幾種經(jīng)典拓撲以及動態(tài)可變多簇結構的統(tǒng)計特性欧美婬乱。

Some novel algorithms and mechanisms are proposed, such as neighborhood invariant topology rule, Kautz_hash naming algorithm, and local optimum self-stabilization mechanism, to optimize the FissionE topology and improve the performance of FissionE, and they have been carefully investigated by the theoretical analysis and formal correctness proofs.

本文提出了一系列創(chuàng)新性的機制和算法，包括"鄰居關系不變量"拓撲構造機制av资源免费、Kautz_hash命名算法和"局部優(yōu)化"動態(tài)維護機制等人妻有限公司，以有效優(yōu)化FissionE拓撲，提高FissionE方法的定位性能狠狠色先锋影音av资源。

In: Proceedings of the 1999 Congress on Evolutionary Computation, Piscataway, NJ: IEEE Press, 1999: 1958~1962.[9] Kennedy J. Small worlds and Mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings Congress on Evolutionary Computation, Piscataway, NJ: IEEE Press, 1999: 1931~1938.[10] Peram T, Veeramachaneni K, Mohan C K. Fitness-distance-ratio based particle swarm optimization.

近來性能較為顯著的基于PSO算法的改進算法有Thanmaya Peram[10]等人于2003年提出的基于粒子群優(yōu)化的適應值-距離-比例算法(Fitness-Distance-Ratio based Particle Swarm Optimization精品自拍亚洲一区在线， FDR-PSO)，在此算法中每個粒子根據(jù)一定的適應值-距離-比例原則免费播放作爱视频网，向附近具有較好適應值的多個粒子進行不同程度的靠近国产精美在线观看视频，而不僅僅只向當前所發(fā)現(xiàn)的最好粒子靠近。