w7e use the random optimization method to solve this problem, proposing an adaptive genetic algorithm to design accelerator rf cavity . we also implement and verify this algorithm in fortran language 論文采用隨機優(yōu)化方法來進行求解,提出了一種用于加速器高頻腔設計的自適應遺傳算法,并用fortran語言進行了實現及驗證。
secondly, based on detailed depiction and analysis on the optimization of inventory, including analysis the demands of material and the character of stock, together with the situation of electric wire & cable company, ltd ., two inventory optimizing models are developed, with the aid of liner and random optimization method-monte carle method 然后在分析企業(yè)原材料需求和庫存特點的基礎上,根據企業(yè)的實際情況,建立了基于線性需求的庫存優(yōu)化模型和基于隨機需求的庫存優(yōu)化模型??蒙特卡羅法,代入企業(yè)各項庫存參數進行實證,并比較了兩種模型的各自的優(yōu)缺點。
on the other side, the ant colony optimizing algorithm is a general distributed random optimization method, which can largely improve the stability, robustness of the system and increase the adaptability to unexpected situations, such as transmission failure and emergent traffic . it has already been applied to the solutions of combine optimization in communication networks 另一方面,蟻群優(yōu)化算法是一種通用的分布式隨機優(yōu)化方法,能夠大大提高系統(tǒng)的可靠性、魯棒性以及增強通信網適應傳輸故障、突發(fā)業(yè)務等意外事件的能力,已經開始應用于通信網中進行路由的組合優(yōu)化問題的求解。