Some Approximation Results in Multicasting
Some Approximation Results in Multicasting
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Modeling and solving the rooted distance-constrained minimum spanning tree problem
Computers and Operations Research
A Kruskal-Based Heuristic for the Rooted Delay-Constrained Minimum Spanning Tree Problem
Computer Aided Systems Theory - EUROCAST 2009
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
Stabilized branch-and-price for the rooted delay-constrained steiner tree problem
INOC'11 Proceedings of the 5th international conference on Network optimization
Enhancing genetic algorithms by a trie-based complete solution archive
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
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We present a memetic algorithm for a combinatorial optimization problem called rooted delay-constrained minimum spanning tree problem arising for example in centralized broadcasting networks where quality of service constraints are of concern. The memetic algorithm is based on a specialized solution representation and a simple and effective decoding mechanism. Solutions are locally improved by a variable neighborhood descent in two neighborhood structures. Furthermore, to tackle the problem of repeated examination of already visited solutions we investigate a simple hash-based method to only detect duplicates or, alternatively, a trie-based complete solution archive to additionally derive new unvisited solutions. Experimental results show that our memetic algorithm outperforms existing heuristic approaches for this problem in most cases. Including the hash-based duplicate detection mostly further improves solution quality whereas the solution archive can only rarely obtain better results due to its operational overhead.