best total of points 中文意思是什麼
best total of points
解釋
最好成績, 最低積分-
A characteristic of this new approach to tourism is interaction, rather than just sightseeing. various festivals timed according to the farming seasons, such as paiho s lotus festival, yuching s mango festival, chiku s melon festival, tsochen s chalk festival or kuantien s water caltrop festival, provide focal points for city dwellers to visit and stay in villages and farms, where they can chat with country folk face to face and personally experience farm life, peel lotus seeds, gather water caltrops, climb salt mounds, go birdwatching, and more, for a total immersion experience that is the best way to enjoy and appreciate the countryside
請注意，這一波新興旅遊玩法的特色是互動而不是觀光，隨著產季而規劃的白河蓮花節玉井芒果節七股洋香瓜季左鎮白堊節官田菱角節等節慶活動，讓都會民眾以定點導覽的方式到農村或農場休閑住宿，直接與農民交談，親身體驗農家生活，剝蓮子采菱角爬鹽山賞鳥等等，都是一種身歷其境的最佳遊玩方式。 -
A modified genetic algorithm ( mga ) framework was developed and applied to the flowshop sequencing problems with objective of minimizing mean total flowtime. to improve the general genetic algorithm routine, two operations were introduced into the framework. firstly, the worst points were filtered off in each generation and replaced with the best individuals found in previous generations ; secondly, the most promising individual was selectively cultivating if a certain number of recent generations have not been improved yet. under conditions of flowshop machine, the initial population generation and crossover function can also be improved when the mga framework is implemented. computational experiments with random samples show that the mga is superior to general genetic algorithm in performance and comparable to special - purpose heuristic algorithms. the mga framework can also be easily extended to other optimizations even though it will be implemented differently in detail
提出了一個改進遺傳演算法的結構，並且應用於帶有目標是最小平均總流程時間的流水調度排序中.為了改進一般遺傳演算法的程序，兩個新的操作被引進到這個操作中.這兩個操作為： 1 ）過濾操作：過濾掉在每一代中的最壞的個體，用前一代中的最好的個體替代它； 2 ）培育操作：當在一定代數內演算法不改進時，選擇一個培育操作用於培育最有希望的個體.通過大量的隨機產生的問題的例子的計算機實驗顯示出，提出的演算法的性能明顯好於一般遺傳演算法，並且和此問題的最好的專門意義的啟發式演算法相匹配.新的mga框架很容易擴展到其它最優化當中，只是實施的詳細的步驟有所不同 -
The advantage of genetic algorithms lies in : to search the best solution for many initial points ; and find the total optimum solution by means of crossover and mutation operator
它從多個初始點開始尋優，藉助交叉和變異運算元來獲得參數的全局最優解。
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