stochastic searching 中文意思是什麼
stochastic searching
解釋
隨機查找- stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
- searching : adj 1 搜查的；搜索的。2 仔細的；徹底的；嚴格的。3 （目光等）銳利的。4 （冷風）刺骨的。n 搜尋；搜...
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Based on the global stochastic searching method of classic genetic algorithm ( ga ), and using the diversity preservation strategy of antibodies in biology immunity mechanism, the method greatly improves the colony diversity of ga and has better global searching capability
該演算法在傳統遺傳演算法全局隨機搜索的基礎上，借鑒了生物免疫機制中抗體的多樣性保持策略，改善了遺傳演算法的群體多樣性，具有更好的全局搜索能力。 -
Thus, according to mechanics of dealing with stochastic phenomena in programming theory, multi - objective stochastic programming model is developed to dispose parameter uncertainty. as a heuristic monte carlo approach with powerful global searching, genetic algorithm based on stochastic programming is utilized
為了更好的處理實際生產中參數的不確定性，根據數學規劃論中處理隨機現象的機理，建立多目標隨機規劃模型，模型求解採用基於隨機規劃的遺傳演算法。 -
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。 -
In recent years, some non - linear stochastic optimistic algorithms are developed by biology, physics, artificial intelligence and nonlinear science, such as genetic algorithm, simulated annealing, tabu searching and chaos searching et al
近年來，基於生物學、物理學、人工智慧和一些非線性科學而發展了一些具有全局優化性能且通用性強的隨機搜索演算法，如：遺傳演算法、模擬退火、禁忌搜索和混沌搜索等。
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