Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)

碩士 === 國立交通大學 === 工業工程與管理系所 === 92 === The Maximum Benefit Chinese Postman Problem (MBCPP) is a practical generalization of the classical Chinese Postman Problem (CPP), which has many real-world applications. The MBCPP has been shown to be more complex than the Traveling Salesman Problem (TSP), and...

Full description

Bibliographic Details
Main Author: 張簡城
Other Authors: 彭文理
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/64025991659643348356
id ndltd-TW-092NCTU5031079
record_format oai_dc
spelling ndltd-TW-092NCTU50310792015-10-13T11:56:53Z http://ndltd.ncl.edu.tw/handle/64025991659643348356 Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP) 越野尋蹤問題之演算法應用於最大效益中國郵差問題 張簡城 碩士 國立交通大學 工業工程與管理系所 92 The Maximum Benefit Chinese Postman Problem (MBCPP) is a practical generalization of the classical Chinese Postman Problem (CPP), which has many real-world applications. The MBCPP has been shown to be more complex than the Traveling Salesman Problem (TSP), and therefore it is difficult to solve the problem exactly. In this paper, we consider the MBCPP on totally undirected networks. We first present a simple network transformation to convert the MBCPP into the Orienteering Tour Problem (OTP), a well-known network routing problem that has been investigated extensively. Consequently, the MBCPP may be solved using the existing OTP solution procedures. We then present a modification of the Tsiligirides’ algorithm to solve the MBCPP approximately. The proposed modified Tsiligiride’s algorithm showed significantly effectiveness after tests by using the cost and benefit structure considered in Malandraki and Daskin (1993). Extensive computational results are provided and analyzed. 彭文理 2004 學位論文 ; thesis 56 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 工業工程與管理系所 === 92 === The Maximum Benefit Chinese Postman Problem (MBCPP) is a practical generalization of the classical Chinese Postman Problem (CPP), which has many real-world applications. The MBCPP has been shown to be more complex than the Traveling Salesman Problem (TSP), and therefore it is difficult to solve the problem exactly. In this paper, we consider the MBCPP on totally undirected networks. We first present a simple network transformation to convert the MBCPP into the Orienteering Tour Problem (OTP), a well-known network routing problem that has been investigated extensively. Consequently, the MBCPP may be solved using the existing OTP solution procedures. We then present a modification of the Tsiligirides’ algorithm to solve the MBCPP approximately. The proposed modified Tsiligiride’s algorithm showed significantly effectiveness after tests by using the cost and benefit structure considered in Malandraki and Daskin (1993). Extensive computational results are provided and analyzed.
author2 彭文理
author_facet 彭文理
張簡城
author 張簡城
spellingShingle 張簡城
Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)
author_sort 張簡城
title Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)
title_short Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)
title_full Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)
title_fullStr Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)
title_full_unstemmed Using Orienteering Problem (OP) Algorithm to solve Maximum Benefit Chinese Postman Problem (MBCPP)
title_sort using orienteering problem (op) algorithm to solve maximum benefit chinese postman problem (mbcpp)
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/64025991659643348356
work_keys_str_mv AT zhāngjiǎnchéng usingorienteeringproblemopalgorithmtosolvemaximumbenefitchinesepostmanproblemmbcpp
AT zhāngjiǎnchéng yuèyěxúnzōngwèntízhīyǎnsuànfǎyīngyòngyúzuìdàxiàoyìzhōngguóyóuchàwèntí
_version_ 1716850387647987712