Edge-connectivity augmentation problems
Journal of Computer and System Sciences
Approximation algorithms for graph augmentation
Journal of Algorithms
Finding a smallest augmentation to biconnect a graph
SIAM Journal on Computing
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Approximation algorithms for finding highly connected subgraphs
Approximation algorithms for NP-hard problems
A new approximation algorithm for the planar augmentation problem
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
A uniform framework for approximating weighted connectivity problems
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Memetic algorithms: a short introduction
New ideas in optimization
Fitness landscapes and memetic algorithm design
New ideas in optimization
Approximation algorithms for minimum-cost k-vertex connected subgraphs
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Design of Survivable Networks with Bounded Rings
Design of Survivable Networks with Bounded Rings
Data Structures and Algorithms
Data Structures and Algorithms
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
A Memetic Algorithm for Vertex-Biconnectivity Augmentation
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
IEEE Transactions on Evolutionary Computation
Parameter adjustment for genetic algorithm for two-level hierarchical covering location problem
WSEAS Transactions on Computers
Computing the metric dimension of graphs by genetic algorithms
Computational Optimization and Applications
An ILP formulation and genetic algorithm for the Maximum Degree-Bounded Connected Subgraph problem
Computers & Mathematics with Applications
Hi-index | 0.00 |
This paper considers the problem of augmenting a given graph by a cheapest possible set of additional edges in order to make the graph vertex-biconnected. A real-world instance of this problem is the enhancement of an already established computer network to become robust against single node failures. The presented memetic algorithm includes effective preprocessing of problem data and a fast local improvement strategy which is applied before a solution is included into the population. In this way, the memetic algorithm's population consists always of only feasible, locally optimal solution candidates. Empirical results on two sets of test instances indicate the superiority of the new approach over two previous heuristics and an earlier genetic algorithm.