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篇名 以改良型回溯門檻接受法求解回程取貨車輛路線問題之研究
卷期 40:2
並列篇名 A MODIFIED BATA APPROACH TO SOLVE VEHICLE ROUTING PROBLEM WITH BACKHAULS
作者 韓復華呂泓儒朱佑旌
頁次 213-232
關鍵字 兩極跳躍法回溯門檻接受法回程取貨車輛路線問題Flip-flop method Backtracking adaptive threshold accepting Vehicle routing problem with backhauls TSSCI
出刊日期 201106

中文摘要

本研究基於回溯門檻接受法 (backtracking adaptive threshold accepting,BATA) 提出一個新的求解回程取貨車輛路線問題 (vehicle routing problem with backhaul) 的巨集解法。回溯門檻接受法是由Tarantilis 與Kiranoudis 首先提出,對於門檻回溯比率值b 僅考慮小於1 的情形。廖昱傑等人提出b 值可大於1 之鬆弛回溯門檻接受法 (relaxed BATA, RBATA) 並用以成功求解VRP 問題。本研究延用RBATA 架構,再加入兩極跳躍法 (flip-flop
method, FF) 的機制,提出改良型門檻回溯接受法 (modified BATA) 以求解VRPB 問題。本研究以62 題國際標竿例題進行測試。結果發現62 題標竿例題中有37 題找到文獻已知最佳解,平均誤差值僅約0.13%。

英文摘要

This study proposes a new meta-heuristic approach for solving the vehicle
routing problem with backhauls (VRPB). The new approach is a modified
backtracking adaptive threshold accepting (MBATA) solution scheme which
combines the relaxed backtracking adaptive threshold accepting (RBATA)
method and flip-flop heuristics (FF).The benchmark problems described by
Goetschalckx and Jacobs-Blecha (1989) were selected for performance
evaluation. Results showed that our proposed MBATA yielded 37 best-known
solutions among 62 test instances, and the average deviation is merely 0.13%.

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