粒子群演算法 的英文怎麼說

中文拼音 [ziqúnyǎnsuàn]
粒子群演算法 英文
discrete pso
  • : Ⅰ名 (小圓珠形或小碎塊形物) small particles; grain; granule; pellet Ⅱ量詞(用於粒狀物)
  • : 子Ⅰ名詞1 (兒子) son 2 (人的通稱) person 3 (古代特指有學問的男人) ancient title of respect f...
  • : Ⅰ名詞(聚在一起的人或物) crowd; group Ⅱ量詞(用於成群的人或物) group; herd; flock
  • : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
  • : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
  • : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
  • 粒子 : grain; granule
  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,並闡明了該方的具體實現過程。
  2. The experimental results indicate that it is easy to be realized, can save the calculating cost and improve the constringency speed

    試驗結果表明,用粒子群演算法來訓練樣本集具有容易實現、節省計成本和提高收斂速度等優點。
  3. According to the low speed of constringency and high complexity of training methods in large scale training, particle swarm algorithm is brought forward to solve the problem

    針對在大規模訓練中收斂速度慢、復雜程度高等問題,提出用粒子群演算法求解其中的二次規劃問題的思想。
  4. 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 )

    摘要將量進化( qea )和粒子群演算法( pso )互相結合,提出了兩種混合量進化
  5. 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。
  6. 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捕食行為的計智能技術,具有簡單、收斂速度較快、全局優化能力較強、控制參數較少等優點。
  7. Optimization of hydro turbine governor parameters based on improved particle swarm

    基於改進粒子群演算法的水輪機調速器參數優化
  8. Ant colony and particle swarm optimization algorithm - based solution to multi - objective flexible job - shop scheduling problems

    基於蟻粒子群演算法求解多目標柔性調度問題
  9. By using pso method, the optimal control input signal is obtained and the optimal trajectory of the nonholonomic motion planning can be found

    利用粒子群演算法確定最優控制輸入信號,得到了系統非完整運動的優化軌跡。
  10. On the basis of analysis of factors impacting on earthwork allocation and transportation, a new kind of earthwork allocation and transportation method based on ant algorithm ( aa ) and particle swarm optimizer ( pso ) is presented in this paper, and it has the advantages of being able to consider nonlinear restrictions and uncertain factors

    摘要本文分析了水利工程中土石方調運的影響因素及其特點,提出了一種基於螞蟻粒子群演算法的土石方調運優化方
  11. Tsapso : a hybrid search algorithm of tabu search and annealing particle swarm optimization for weapon - target assignment

    基於禁忌退火粒子群演算法的火力分配
  12. Improved particle swarm optimization for elevator group control system

    基於改進粒子群演算法優化電梯控系統
  13. 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

    摘要結合復形粒子群演算法的優點,提出復形,用於求解非線性方程組,以克服牛頓初始點不易選擇的問題,同時克服復形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。
  14. Order numbers for vehicles to freight were got by particle position vector, single vehicle route was got by aco, and then evaluated and filtered particales according to optimal vehicle routes, circulated until terminate qualification

    粒子群演算法位置向量得到每輛車所需運送的訂單號,用蟻優化單車路徑,根據優化的總路徑評價和篩選,直到滿足終止條件。
  15. Aimed at the 0 - 1 knapsack problems, the article proposes a kind of hybrid intelligence algorithm combining with the adjusting strategy, the greedy algorithm and the binary particle swarm optimization algorithm

    摘要針對0 - 1背包問題,提出一種具有修復策略的、貪心與二進制粒子群演算法相結合的混合智能
  16. A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm

    摘要利用粒子群演算法設計了一種冷連軋軋制負荷分配的優化方
  17. Tests demonstrate that the using particle swarm optimization algorithm to optimize load distribution has the advantages of simpleness, fast speed and high degree of convergence, which can be generalized as a new method of rolling load distribution of tandem cold mill

    實驗證明,粒子群演算法在軋制負荷分配計中,具有實現簡便、運速度快、收斂性好等優點,可以作為一種冷連軋軋制負荷分配的新方加以推廣。
  18. The simulation results of a batch process shows that the iterative particle swarm algorithm can solve the robust optimization problems of batch processes effectively if there is no state independent and end - point constraints

    對一個間歇過程的模擬結果證明了迭代粒子群演算法可以有效地解決無狀態獨立約束和終端約束的間歇過程魯棒優化間題。
  19. An iterative particle swarm algorithm is proposed for the robust optimization problem of hatch processes without state independent and end - point constraints, which combines the iteration method and the particle swarm optimization algorithm together

    摘要針對無狀態獨立約束和終端約束的間歇過程魯棒優化問題,將迭代方優化相結合,提出了迭代粒子群演算法
  20. In order to add the resource collected by nerms resource collecting system to database according to its content, we must give a label for each resource. if we just do the work one by one manually, we will find it ' s a tedious job and we must find a new tool to help us, so the resource classifier l

    本文提出一個頻率統計函數,一個基於頻率的分類規則適應度函數以及一個用於分類的打分函數,並把這三個函數結合適用於粒子群演算法的分類規則編碼來更準確的提取規則集,然後通過修改位置更新方程使粒子群演算法適于解決分類規則挖掘問題。
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