頁籤選單縮合
題名 | 簡化操作型區間數線性規劃在水質管理之應用=Application of Simplified Operational Interval Number Linear Programming to Water Quality Management |
---|---|
作者 | 童慶斌; 胡明哲; 李長穎; 劉佳明; | 書刊名 | 臺灣水利 |
卷期 | 47:2=186 1999.06[民88.06] |
頁次 | 頁28-37 |
分類號 | 445.212 |
關鍵詞 | 不確定性; 涵容能力; 優化; Uncertainty; Assimilation capacity; Optimization; |
語文 | 中文(Chinese) |
中文摘要 | 一般線性規劃方法中,限制式之係數及右端常數皆為確定數值, 因此最佳解也為 確定數值。在真實的世界中,許多問題皆具有不確定性,而無法以確定數來表示,環境系統 亦不例外。因此,有些研究利用序率線性規劃模式來探討此問題,然而序率方法需要有足夠 的資料去檢定資料之機率分佈,故在資料不足時較不可行。本文簡化具有穩定性的操作型區 間數線性規劃,應用在頭前溪河川水質的優化控制上。傳統的河川水質優化管理問題,其考 慮的污染排放量以及河川流量皆為定值,而求解出的最佳容許排放量(河川涵容能力)也為 一定值,這並不符合實際情況,因為在真實世界中存在具有不確定性與難以確定數量化的元 素。因此本文以區間數的方式表示不確定參數,則求出的結果亦為一區間數,也就是一個容 許的排放範圍,在管理上可提供更多的資訊,以訂定排放標準。 C |
英文摘要 | In the traditional algorithm of linear programming, coefficients and right hand side are constant. Thus, optimal solutions are also constant. However, there is uncertain information in the real world. It is not proper to express uncertain information as deterministic value. Stochastic linear programming is often used in solving problems with uncertainty. but it needs more data to identify the probability distribution of concerned information. When data is limited, it is infeasible. In this study, simplified operational interval number linear programming (SOINLP) is used to solve an optimization problem of water quality control for the Touchien Creek. The traditional linear programming model for water quality management has constant streamflow and pollution discharges, which produces constant permissible pollution discharge (assimilation capacity). It is not realistic, because there is uncertainty in the real world. Thus, interval parameters are used in this study, and optimal solutions with interval values of decision variables are produced by the SOINLP. It offers more information for water quality management. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。