stochastic selection algorithm 中文意思是什麼
stochastic selection algorithm
解釋
隨機選擇演算法- stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
- selection : n. 1. 選擇；挑選；選拔。2. 拔萃；選擇物；精選物[品]；文選。3. 【無線電】分離，（自動電話）撥號。4. 【生物學】選擇，淘汰。
- algorithm : n. 【數學】演算法；規則系統；演段。
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Genetic algorithm ( ga ) is a kind of highly paralel, stochastic, global probability search algorithm based on the evolutionism such as natural selection, genetic crossover and gene mutation
遺傳演算法是一種基於自然選擇、遺傳雜效和基因變異等生物進化機制的高度并行、隨機、全局性概率搜索演算法。 -
The main achievements are as follows : according to the stochastic mechanism, a novel ant colony optimization algorithm with random perturbation behavior ( rpaco ) is presented in this paper. the new algorithm includes two important aspects : a amplify factor formulated by inverse exponent function is developed, which is used to avoid premature, on the other hand, corresponding transition strategy with random selection and perturbation behavior is designed, which is designed to prevent the algorithm from stagnating
主要成果有：從隨機優化技術出發，提出了一種新穎的隨機擾動蟻群優化演算法，該演算法包含了兩個重要方面：一是提出了採用倒指數曲線來描述的放大因子，可以有效地防止早熟；二是設計出了相應的隨機選擇策略和擾動策略，避免演算法陷入停滯。 -
Genetic algorithm is a kind of stochastic whole - searching regression algorithm, which is built on natural selection and molecule genetic mechanism, as a kind of universal algorithm to optimize the problems of complicated system, it is widely used in many fields due to its suppleness, universality, well self - fitness, robustness and fitness for collateral process, as a kind of bionic algorithms, the research on ga ' s application keeps far ahead of its theoretic research
遺傳演算法是藉助生物界自然選擇和遺傳學機理而建立的一種迭代全局優化隨機搜索演算法，是一種求解復雜系統優化問題的通用框架。它不依賴于問題的具體領域，具有簡單、通用、較強的自適應性和魯棒性，以及適于并行處理等顯著特點，因此被廣泛應用於眾多領域。作為一種仿生演算法，遺傳演算法的應用研究遠遠領先於演算法的基礎理論研究。
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