模糊啟發式演算法則應用於低放射性廢棄物運送路線選擇之研究

Fuzzy Heuristic Algorithm Method for Transport Route-Choice of Low-Radiation Waste Junk

鄭志強(Chih-Chiang Cheng) ； 蔡麗敏(Li-Min Tsai) ； 徐作聖(Joseph Z. Shyu) ； 曾國雄(Gwo-Hshiung Tzeng)

《中華管理學報》 5卷1期 (2004/03) Pp. 41-56

https://doi.org/10.30053/CHJM.200403.0003

摘要

核能是目前全球使用量最大的能源之一。據估計，全球有四分之三以上的國家以核能為發電的主要來源，所產生之低強度放射性廢料必須運送至安全場所妥善處理，故低放射性核能廢料之運輸問題為全球現今的重要課題。低強度放射性核能廢料之運送包含一些潛在競爭目標之權衡(Trade Off)問題（例如風險的極小化、運送成本之極小化以及民眾抗拒程度之極小化），因此如何建立一基於風險、成本及民眾抗拒程度最適化原則下之運送路線選擇規劃即為本研究之主旨。本文在提供一多目標運送路線選擇問題之規劃方法由於此問題為組合問題且目標之達成求解為不明確，因此本文導入模糊多目標的觀念，並應用基因演算法來處裡。

關鍵字

核能廢料 ； 運送路線選擇 ； 模糊多目標 ； 組合最佳化 ； 基因演算法

並列摘要

Nuclear power is currently one of the energy types that used with the greatest amount throughout the world. According to estimation, there are about three-fourths of the countries in the world which rely on nuclear power as their primary source of generation, while low-radiation nuclear waste produced has to be transported to some safe sites for proper management. Thus, the issue to transport low-radiation nuclear waste has already become one very important problem worldwide. The transportation of low-radiation nuclear waste is enshrined with such trade-off problems of some potentially competitive objectives(such as the minimization of risk, minimization of transportation, and minimal public resistance), and it is , therefore, the motif of this study as how the programming of transportation route choice with optimal risk, transportation cost, and public resistance can be constructed. This paper is now providing a programming method for multiple objective transportation route problems, and this paper will bring in the notion of fuzzy multiple objectives as this is of a combination problem with its objectives difficult to be achieved, also genetic algorithm is used to handle calculation.

並列關鍵字

Nuclear Waste ； Transportation Route Selection ； Fuzzy Multiple Objective Programming ； Combinatorial Optimal Problem ； Genetic Algorithm