evolutionary optimization 中文意思是什麼
-
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。 -
Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming
在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。 -
Graphical models are increasingly popular tools for modeling problems involving uncertainty. in this dissertation, they are integrated with evolutionary mechanism, to develop the evolutionary mechanism based - on graph models and more intelligent optimization theory
本文以圖形模型為線索，將圖形模型與傳統進化機理有機地結合，探索基於圖形模型的進化機制，研究更具智能性的優化理論。 -
The optimization time and the optimization quality of evolutionary computation ca n ' t keep up with the actual demand. in order to solve the massive complicated optimization problems, the author analyzes the parallelization principle and the application environment of parallel evolutionary computation, and presents internet - based parallel evolutionary computation ( ipec )
為解決大規模復雜優化問題，本文就并行進化計算的并行化原理和應用平臺進行分析，提出了基於internet環境的并行進化計算（ internet - basedparallelevolutionarycomputation ，簡稱ipec ） 。 -
The results show the improved aca can be used to solve the continued problem, and the formula whose parameter is optimized by the improved aca can simulate the primary data better than those whose parameter are optimized by other optimizing methods except the immune evolutionary algorithm ( iea ), and the improved aca can get almost the same result with less optimization scale and shorter optimization time than iea
結果表明，改進的螞蟻演算法可以成功用於暴雨強度公式的參數優化，並且在實驗採用的各種優化演算法優化參數得到的暴雨強度公式擬合原始數據的效果比較中只有免疫進化演算法在優化過程中迭代次數和迭代規模都要大得多的情況下才和改進的螞蟻演算法差不多，而比其它的優化方法都要好。 -
And it is obvious that pseudo - relaxation is a kind of local optimization method, so it cannot guarantee to get the global optimal solution. in this paper, a novel learning algorithm eprbam evolutionary psendo - relaxation learning algorithm for bidirectional association memory employing genetic algorithm and pseudo - relaxation method is proposed to get feasible solution of bam weight matrix
即使在和取定后，準鬆弛演算法的訓練和學習仍是一種局部最優化過程，它只是在初始權矩陣的附近找到第一個可行解就結束訓練，這類演算法並不能保證獲得全局最優解。 -
In this paper, we propose an improved evolutionary algorithm combining diversity maintaining mechanism and accelerating operators, which focuses on the contradiction between the maintenance of population diversity and search efficiency in solving multimodal function global optimization problem on a bounded area
摘要針對演化演算法求解有界區域上的多峰函數全局優化問題中，保持種群多樣性和搜索效率的矛盾，提出了一種結合了多樣性維持機制和加速運算元的改進演化演算法並對演算法作了收斂性分析。 -
By introducing distributed evolution to deb ' s nsga - ii, a distributed multiobjective evolutionary algorithm was given. it was tested on five difficult multiobjective optimization test problems, and the result shows that distributed evolution does improve the performance of the algorithm
給出了一種分散式的多目標進化演算法，它是用分散式進化方式對deb的nsga -的改進，用五個困難的多目標優化測試問題對該演算法的測試表明這種改進明顯的提高了演算法的性能。 -
To completely avoid producing elements jointed at their corner nodes and checkerboard patterns, which frequently occur when the topology optimization of plane continuum is studied, the theory of topology analysis of plane continuum in topology optimization process and the simple algorithm for programming are studied. according to algebraic topology theory, the boundary of elements and plane continuum are operated as a one - dimensional complex. by use of the adjacency vector in graph theory, the structural topology is described and the topological operation is achieved on a computer. by above, the structural topological feature in the evolutionary process is gained. these methods are effcient and reliable. under topology constraints, according to the results of stress analysis, by deleting elements and moving nodes at the boundary, more satisfactory results can be gained by using a few numbers of elements and iterations. to demonstrate the efficiency of these methods, solutions including some well - known classical problems are presented
避免目前平面連續體結構拓撲優化過程中經常出現的單元鉸接以及「棋盤格」等現象，研究了連續體結構拓撲優化過程的拓撲分析方法，以及在計算機上實現的簡便演算法.根據代數拓撲理論，單元及連續體的邊界作為1 -復形進行運算.利用圖論中的鄰接向量概念，在計算機上實現了結構的拓撲描述及拓撲運算，得到了結構在拓撲演化過程中的拓撲特性，方法簡單、可靠.在一定的拓撲約束下，根據應力分析結果，採用刪除單元、單元退化、移動節點等方法，可以用較少單元得到更為滿意的結果，提高計算效率.為演示方法的有效性，給出幾個包括常見經典問題的解答 -
It applies an interval method to select element in the evolutionary structure optimization method ( eso ), and recovers or deletes element by the “ birth and dead ” function of element. another method viewed as second order smoothing technique for suppressing the checkerboard patterns has been proposed based on the filtering function ’ s principle. then the above methods are applied to solve a temperature - controlling problem in the steady heat conducting field and a multi - objective topology optimization problem considering multiple load cases and coupled effect
本文基於ansysparametricdesignlanguage （ apdl ） ，提出漸進結構法中應用區間法進行單元的篩選，通過單元「生死」的功能實現單元的恢復與刪除，根據濾波函數法原理提出修改的二階棋盤格處理方法，並就穩態熱傳導溫度控制問題，考慮熱、力耦合的多載荷工況的多目標拓撲優化設計問題進行求解。 -
With c + + language, iods is composed of traditional optimization methods, knowledge base, inference machine, knowledge acquisition and graphic user interface ( gui ) in windows 2000. this integrated synthesis system performs the intelligentized optimization design for asrv, including the following items : production deduction strategy, knowledge handling technology, traditional optimization methods, evolutionary algorithms and the object - oriented strategy
此系統利用c + +語言在windows2000環境下編制而成，由優化演算法庫、知識庫、推理機制、知識錄入和圖形用戶界面等幾部分構成；該系統將產生式推理技術、知識處理技術、基於數學規劃的優化演算法、現代優化演算法以及面向對象程序設計方法綜合成一個有機的整體，形成了一個針對再入飛行器氣動布局優化設計的智能優化設計平臺。 -
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。 -
The results of simulation show that the hierarchical optimization functions have stronger deceptive so that the algorithms be pendulous among local optimizations. however the evolutionary mechanism based - on graph models being discussed displays its favorable characteristic of intelligent optimizing, such as to overcome deceptive and explore inherent laws on search space. ( 5 ) a method for designing a model framework of situation awareness for ucays based on object - oriented bayesian networks is presented
模擬結果表明，本文所研究的層次化函數確實具有迷惑性，引導演算法在峰值之間飄忽不定，但即使如此，本文提出的基於圖形模型的智能優化機制依然表現出具有克服問題欺騙性，可探索問題內在規律和智能尋優的良好特性。 -
In order to solve the problem of quality and cost optimization of a large product structure, a virus evolutionary genetic algorithm ( vega ) is developed, and then the coding and decoding representation of the solution as well as the calculation of the fitness function are designed
摘要針對一種大型產品結構的質量成本優化問題，設計了一種病毒進化遺傳演算法，提出了相應的編碼解碼方案和適應度的計算。 -
Genetic algorithm is a global optimization search method, which is based on biological evolutionary mechanisms such as natural selection, heredity and mutation
摘要遺傳演算法是一種基於自然選擇和遺傳變異等生物進化機制的全局優化搜索演算法。 -
Based on the outstanding characteristics of cloud model on the process of transforming a qualitative concept to a set of quantitative numerical values, and integrate with the basic principle of genetic algorithm, a novel adaptive evolutionary algorithm for continuous global optimization problems was proposed
在定性知識的指導下該演算法能夠自適應控制搜索空間的范圍，較好地避免了傳統遺傳演算法易陷入局部最優解和選擇壓力過大造成的早熟收斂等問題。 -
A study of multi - objective optimization evolutionary algorithm
一種多目標優化進化演算法研究 -
Combinatorial optimization using multi - agent evolutionary algorithm
組合優化多智能體進化演算法 -
An anytime evolutionary optimization algorithm based on game theory
一種基於博弈的任意時間演化優化演算法 -
A structural topology evolutionary optimization method based on stresses and their sensitivity
基於應力及其靈敏度的結構拓撲漸進優化方法
分享友人