NDLI: A Generic Object-Oriented Tabu Search Framework

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A Generic Object-Oriented Tabu Search Framework

Content Provider	Semantic Scholar
Author	Lau, Hoong Chuin Wan, Wee Chong Jia, Xiaomin
Copyright Year	2003
Abstract	Presently, most tabu search designers devise their applications without considering the potential of design and code reuse, which consequently prolong the development of subsequent applications. In this paper, we propose a software solution known as Tabu Search Framework (TSF), which is a generic C++ software framework for tabu search implementation. The framework excels in code recycling through the use of a welldesigned set of generic abstract classes that clearly define their collaborative roles in the algorithm. Additionally, the framework incorporates a centralized process and control mechanism that enhances the search with intelligence. This results in a generic framework that is capable of solving a wide range of combinatorial optimization problems using various tabu search techniques and adaptive strategies. The applications of TSF are demonstrated on the implementation of two NP-hard problems, the Vehicle Routing Problem with Time Windows (VRPTW) and Quadratic Assignment Problem (QAP). We show that TSF is able to obtain quality solutions within reasonable implementation as well as computation time.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.comp.nus.edu.sg/~lauhc/MIC03_TSF.pdf
Alternate Webpage(s)	http://www.comp.nus.edu.sg/~lauhc/mic03-049.pdf
Alternate Webpage(s)	http://www.mysmu.edu/faculty/hclau/mic03-049.pdf
Language	English
Access Restriction	Open
Subject Keyword	Algorithm C++ Centralized computing Class Code reuse Combinatorial optimization Computation Generic Drugs Mathematical optimization Microsoft Windows NP-hardness Quadratic assignment problem Recycling Reuse (action) Software framework Solutions Tabu search Time complexity Vehicle routing problem
Content Type	Text
Resource Type	Article

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