A Multi-Layered Immune System for Graph Planarization Problem
نویسندگان
چکیده
منابع مشابه
A Multi-Layered Immune System for Graph Planarization Problem
This paper presents a new multi-layered artificial immune system architecture using the ideas generated from the biological immune system for solving combinatorial optimization problems. The proposed methodology is composed of five layers. After expressing the problem as a suitable representation in the first layer, the search space and the features of the problem are estimated and extracted in...
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A greedy randomized adaptive search procedure (GRASP) is a metaheuristic for combinatorial optimization. In this paper, we describe a GRASP for the graph planarization problem, extending the heuristic of Goldschmidt and Takvorian [Networks, v. 24, pp. 69–73, 1994]. We review basic concepts of GRASP: construction and local search algorithms. The implementation of GRASP for graph planarization is...
متن کاملGraph Planarization
A graph is said to be planar if it can be drawn on the plane in such a way that no two of its edges cross. Given a graph G = (V,E) with vertex set V and edge set E, the objective of graph planarization is to find a minimum cardinality subset of edges F ⊆ E such that the graph G = (V,E \ F ), resulting from the removal of the edges in F from G, is planar. This problem is also known as the maximu...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2009
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e92.d.2498