Citation: UNSPECIFIED.
Full text not available from this repository.
Official URL: http://www.sciencedirect.com/science/journal/18770...
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 |
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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 |