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Proposing a New Search Template for Modelling Languages

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Abstract

The major problem in solving combinatorial optimization problems is the huge size of the search space. To explore the search space in a reasonable time, using smart search algorithms is inevitable. One of the main difficulties in implementing search methods is the lack of a uniform, high-level template for all search paradigms. In this paper, we propose a high-level, parametric template suitable for modeling languages which covers both tree search and local search.

Item Type: Journal article
Uncontrolled Keywords: Combinatorial Optimization Problems; Search Space; Tree Search; Local Search; Zinc Modelling Language
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
Depositing User: Reza Rafeh
Date Deposited: 11 Jan 2017 01:04
Last Modified: 21 Jul 2023 04:35
URI: http://researcharchive.wintec.ac.nz/id/eprint/5125

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