Global search algorithms using a combinatorial unranking-based problem representation for the critical node detection problem
DOI10.1016/j.cor.2012.02.008zbMath1251.90342OpenAlexW2050675408MaRDI QIDQ1761226
Publication date: 15 November 2012
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2012.02.008
simulated annealingrandom graphcomplex networkscritical node detectionpopulation-based incremental learning
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Random graphs (graph-theoretic aspects) (05C80) Combinatorial optimization (90C27) Graph algorithms (graph-theoretic aspects) (05C85)
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- Optimization by Simulated Annealing
- Complexity of the critical node problem over trees
- Detecting critical nodes in sparse graphs
- A calculus for the random generation of labelled combinatorial structures
- Ranking and unranking permutations in linear time
- Evolution of the social network of scientific collaborations
- Efficient immunization strategies on complex networks
- Branch and cut algorithms for detecting critical nodes in undirected graphs
- Identifying critical nodes in undirected graphs: complexity results and polynomial algorithms for the case of bounded treewidth
- Cardinality-Constrained Critical Node Detection Problem
- Robust Optimization of Graph Partitioning and Critical Node Detection in Analyzing Networks
- Emergence of Scaling in Random Networks
- A random graph model for massive graphs
- Handbook of Applied Algorithms
- A comparison of simulated annealing cooling strategies
- Parallel Processing and Applied Mathematics
- Collective dynamics of ‘small-world’ networks
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