gasa 中文意思是什麼
gasa
解釋
加薩-
The application of gasa to the optimization of earliness tardiness problem
演算法的提前或拖期問題優化 -
In this paper, the author come to a conclusion that genetic algorithm is an efficient solution to distribution job - shop problem, while gasa is a more superior method than it
從結果中可以看出遺傳演算法是解決該問題的行之有效的方法，而混合遺傳演算法則是解決該問題的更為優良的方法。 -
Gasa ( genetic annealing simulated algorithm ) is introduced into gcs ( geometry constraint solving )
提出了將遺傳模擬退火演算法應用於約束求解中。 -
The gasa hybrid algorithm is given out by combining and optimizing the simulated annealing algorithms and genetic algorithms
通過遺傳演算法和模擬退火演算法進行組合優化，也提出了gasa的混合演算法問題。 -
This paper studies how to use self - adapted genetic algorithm and hybrid genetic algorithm ( gasa ) to solve this problem and its application
本文結合分散式車間生產模式的實際情況，研究了自適應遺傳演算法和混合遺傳演算法-模擬退火遺傳演算法相混合）對該問題的解決策略和過程。 -
According to the respective performance of genetic algorithm and simulated annealing algorithm, we proposed a new algorithm for sensor scheduling of early warning satellite, i. e., genetic and simulated annealing algorithm ( gasa )
結合遺傳演算法和模擬退火演算法的特點，提出了一種新的解決導彈預警衛星傳感器調度問題的遺傳模擬退火演算法（ gasa ） 。 -
After briefly introduce the basic genetic algorithm ( ga ) theory, aimming at the " prematurity " of basic genetic algorithm, we put forward a new improved genetic algorithm, the basic genetic algorithm combine simulate anneal ing ( gasa ), to meliorate the local search ability of basic genetic algorithm. because many design problems, such as the preliminary fuzzy rule and input and output membership fuction are hard to gain and the learni ng process of fuzzy neural network ( fnn ) is slow and local optimization, we design the fuzzy neural network excitation controllers of turbine generators with genetic algorithm combine simulate anneal ing ( gasa )
本文首先介紹了水輪發電機勵磁控制方式和軟計算理論的發展，然後介紹了遺傳演算法的基本理論，針對基本遺傳演算法存在的「早熟」現象，介紹了一種遺傳演算法結合模擬退火的改進型遺傳演算法，改善了基本遺傳演算法的局部搜索能力。鑒于常規模糊神經神經網路勵磁控制器設計方法中存在著初始模糊規則和輸入輸出隸屬度函數難以確定以及模糊神經網路訓練緩慢和難以達到全局最優等問題，利用遺傳演算法結合模擬退火的改進型遺傳演算法來設計模糊神經網路勵磁控制器。 -
Firstly, we aquire the initial fuzzy rules filtrate the initial fuzzy rules through genetic algorithm combine simulate annealing ( gasa ) ; then confirm input and output membership fuction through genetic algorithm combine simulate anneal ing ( gasa ) ; finally, the fuzzy neural network ( fnn ) is trained by genetic algorithm combine simulate anneal ing ( gasa )
首先利用改進型遺傳演算法得到控制器的初始模糊規則，並對得到的初始模糊控制規則進行過濾；然後利用改進型遺傳演算法對輸入輸出的隸屬度函數進行優化；最後利用改進型遺傳演算法對得到的模糊神經網路進行訓練。 -
Gasa is characteristic of many advantages, such as the calculating robustness, implied inherent parallelism, global searching and local convergence. these advantages are integrated in gcs in our method and make the constraint problems solved robustly and efficiently. based on such approach, the ecological niche ideal is further integrated with gasa
由於遺傳模擬退火演算法本身具有很多優點：很強的計算魯棒性、隱含的內在并行性、全局搜索與局部快速收斂能力，因此將遺傳模擬退火演算法與約束求解相結合大大提高了約束求解的魯棒性和效率。
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