pso particle swarm optimization 中文意思是什麼

pso particle swarm optimization 解釋
粒子群演算法
  • pso : 粒子群演算法
  • particle : n 1 顆粒，微粒；微量，極少量。2 【物、數】粒子，質點。3 【語法】虛詞，不變詞〈冠詞、副詞、介詞、...
  • swarm : n 1 （昆蟲的）群，蜂群；【生物學】浮遊單細胞（生物）群，遊走孢子。2 大群；大堆。vi 1 蜂擁成群（而...
  • optimization : n. 最佳化，最優化。
  1. To solve the capacitated dynamic lot - sizing problem in group technology cell, a method based on binary particle swarm optimization ( pso ) algorithm and immune memory mechanism was proposed and its implementation was illustrated in detail

    摘要為求解基於成組單元有能力約束的生產批量計劃問題，提出了一種基於二進制粒子群演算法和免疫記憶機制相結合的方法，並闡明了該方法的具體實現過程。
  2. Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid quantum evolutionary algorithms ( qea ) based on combining qea with particle swarm optimization ( pso )

    摘要將量子進化演算法（ qea ）和粒子群演算法（ pso ）互相結合，提出了兩種混合量子進化演算法。
  3. An improved pso ( particle swarm optimization ) algorithm is presented which well addresses slow convergence speed and low calculation precision in the basic pso algorithm

    摘要提出了一種改進的粒子群演算法，很好地解決了基本粒子群演算法中易陷入局部最優的缺點。
  4. Particle swarm optimization ( pso ) is inspired by social behavior of bird flocking or fish schooling. it is a population - based, self - adaptive search optimization technique. pso is simple in concept, few in parameters, and easy in implementation

    粒子群優化演算法（ particleswarmoptimization ， pso演算法）源於鳥群和魚群群體運動行為的研究，是一種基於種群搜索策略的自適應隨機演算法，是進化計算領域中的一個新的分支。
  5. Particle swarm optimization ( pso ) algorithm is a computation intelligence technique, inspired by social behavior of birds flocking. pso algorithm possesses the advantages of simplified, rather quick convergence speed, global optimization performance, and less controlling parameters, et al

    粒子群演算法是一種源於鳥群捕食行為的計算智能技術，具有演算法簡單、收斂速度較快、全局優化能力較強、控制參數較少等優點。
  6. Si aims at understanding the collective behavior of swarm insects. we browse briefly its concepts, characteristics and major research areas : sorting behavior, ant colony optimzation ( aco ) and particle swarm optimization ( pso )

    我們先介紹了群體智能的特點，研究方法和主要研究的3個問題：分揀行為，螞蟻演算法和粒子群體優化（ pso ） 。
  7. The particle swarm optimization ( pso ) algorithm was invented by eberhart and kennedy in 1995 as a parallel optimization. it comes of the behavior of birds searching food

    粒子群優化演算法是由美國心理學家jameskennedy和電氣工程師russelleberhart在1995年共同提出的一種并行演化計算技術，源於對一個簡化社會模型鳥群捕食系統的模擬。
  8. A complex particle swarm optimization ( cpso ) algorithm, which combines the advantages of method of complex ( mc ) and particle swarm optimization ( pso ), is put forward to solve systems of nonlinear equations, and it can be used to overcome the difficulty in selecting good initial guess for newton ' s method and the inaccuracy of mc and pso due to being easily trapped into local minima for solving systems of nonlinear equations

    摘要結合復形法與粒子群演算法的優點，提出粒子群復形法，用於求解非線性方程組，以克服牛頓法初始點不易選擇的問題，同時克服復形法與粒子群演算法由於易陷入局部極值而導致方程組的解的精度不夠的不足。
  9. It also apply an evolutionary algorithm ? ? particle swarm optimization ( pso ) on the problem

    並將一種新的進化演算法? ?粒子群游優化演算法（ pso ） ，應用於暫態穩定極限計算。
  10. Here, the particle swarm optimization ( pso ) was adopted to solve the local and global localization

    本文把粒子群優化演算法（ pso ）引入局部定位和全局定位，通過合理的適應度函數優化位姿。
  11. In dealing with the problem of particle swarm optimization ( pso ) algorithm evolving program, this paper aims at an adoption of simulated annealing ( sa ) to improve the particle swarm algorithm and establish an sa - pso optimization model

    摘要針對粒子群優化演算法後期易陷於局部最小的缺點，引入模擬退火思想，建立模擬退火粒子群優化演算法。
  12. In this thesis, in order to improve the performances of fuzzy controller, a hybrid structure of fuzzy pid controller is proposed and a systemic parameter optimal method based on the pso ( particle swarm optimization ) is introduced

    本文對如何提高模糊控制的性能以及系統化的參數設計問題進行研究，提出了一種模糊pid控制的結構，並且首次將微粒群優化演算法（ pso ）應用於模糊控制器的參數優化設計。
  13. The swarm intelligence algorithm includes ant colony optimization ( aco ) and particle swarm optimization ( pso )

    群體智能演算法包括蟻群演算法和微粒群演算法。
  14. Pso is simple and efficient, so many researchers have been attracted by this algorithm, and furthermore, it converges fast by moving each particle aimed at guides when it deals with single - objective optimization, and these features are important in multi - objective optimization also. from some current research works, we describe a multi - objective particle swarm optimization algorithm ( mopso ) that incorporates the concept of the enhanced - dominance, we present this new concept to update the archive, the archiving technique can help us to maintain a sequence of well - spread solutions. a new particle update strategy and the mutation operator are shown to speed up convergence

    目前，國內外已有部分相關研究成果，但是它們在解集分佈性、收斂性方面仍存在不足，在吸取已有成果的基礎上，本文提出了一種改進的多目標粒子群演算法（ mopso ） ，使用我們提出的強支配概念構造外部種群，使解集保持良好的分佈性，同時，通過採用新的全局極值和個體極值的選取方式及採用新的種群更新策略加快解集的收斂，提出基於快速排序的非支配集構造方法加快演算法運行效率。
  15. Because of this weak, an improved pso algorithm, hybrid algorithm of powell method and particle swarm optimization ( ppso ) is proposed

    針對該演算法存在的缺點，提出一種改進的粒子群演算法? powell -粒子群混合演算法，將powell方法有機地融入粒子群演算法。
  16. Kennedy and eberhart presented a new optimization method named particle swarm optimization ( pso ) in 1995 which is inspired by the flocking and swarm behavior of birds, insects, and fish schools

    此外， kennedy和eberhart在1995年提出一類新的優化演算法? ?粒子群優化演算法（ pso ） ，這種新演算法啟發于鳥類、蟲、魚群等物種的群體捕食行為。
  17. Hybrid algorithm was composed of particle swarm optimization ( pso ) and improved ant colony optimization ( aco )

    採用粒子群演算法與改進蟻群演算法組成的混合優化演算法求解模型。
  18. At present as traditional anti - slide pile design was conservative and wasted money, particle swarm optimization ( pso ) method was presented in this paper to optimize anti - slide pile

    摘要由於目前抗滑樁設計比較保守，存在一定的浪費，故採用粒子群優化演算法。
  19. A method to evaluate spatial straightness errors adopting particle swarm optimization ( pso ) is proposed

    摘要提出了一種滿足最小區域法的空間直線度誤差評價的新方法一粒子群演算法。
分享友人
分享到 Line

分享到臉書