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Publication

Cutting path as a Rural Postman Problem: solutions by Memetic Algorithms

Title
Cutting path as a Rural Postman Problem: solutions by Memetic Algorithms
Type
Article in International Scientific Journal
Year
2012
Authors
Ana Maria Rodrigues
(Author)
FEUP
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Scientific classification
FOS: Natural sciences > Computer and information sciences
CORDIS: Physical sciences > Mathematics > Applied mathematics > Operations research
Other information
Abstract (EN): The Rural Postman Problem (RPP) is a particular Arc Routing Problem (ARP) which consists of determining a minimum cost circuit on a graph so that a given subset of required edges is traversed. The RPP is an NP-hard problem with significant real-life applications. This paper introduces an original approach based on Memetic Algorithms - the MARP algorithm - to solve the RPP and, also deals with an interesting Industrial Application, which focuses on the path optimization for component cutting operations. Memetic Algorithms are a class of Metaheuristics which may be seen as a population strategy that involves cooperation and competition processes between population elements and integrates “social knowledge”, using a local search procedure. The MARP algorithm is tested with different groups of instances and the results are compared with those gathered from other publications. MARP is also used in the context of various real-life applications.
Language: English
Type (Professor's evaluation): Scientific
License type: Click to view license CC BY-NC
Documents
File name Description Size
amr, jsf_Cutting path as a RPP - solutions by MA Cutting path as a RPP - solutions by MA 833.42 KB
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