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EnglishGiven an undirected and vertex weighted graph G = (V,E,w), the Weighted Feedback Vertex Set Problem consists of finding the subset F ⊆ V of vertices, with minimum weight, whose removal results in an acyclic graph. Finding the minimum feedback vertex set in a graph is an important combinato- rial problem that has a variety of real applications. In this paper we introduce a memetic algorithm for this problem. We propose an efficient greedy procedure that quickly generates chromosomes with specific characteristics and a wise application of a recent local search procedures based on k-diamonds. Computa- tional results show that the proposed algorithm outperforms the effectiveness of two other metaheuristics recently proposed in the literature for this problem.
| Titolo: | A Memetic Algorithm for the Weighted Feedback Vertex Set Problem | |
| Autori: | ||
| Data di pubblicazione: | 2014 | |
| Rivista: | ||
| Abstract: | Given an undirected and vertex weighted graph G = (V,E,w), the Weighted Feedback Vertex Set Problem consists of finding the subset F ⊆ V of vertices, with minimum weight, whose removal results in an acyclic graph. Finding the minimum feedback vertex set in a graph is an important combinato- rial problem that has a variety of real applications. In this paper we introduce a memetic algorithm for this problem. We propose an efficient greedy procedure that quickly generates chromosomes with specific characteristics and a wise application of a recent local search procedures based on k-diamonds. Computa- tional results show that the proposed algorithm outperforms the effectiveness of two other metaheuristics recently proposed in the literature for this problem. | |
| Handle: | http://hdl.handle.net/11386/4276653 | |
| Appare nelle tipologie: | 1.1.2 Articolo su rivista con ISSN |
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