Computer Science – Neural and Evolutionary Computing
Scientific paper
2005-02-28
Computer Science
Neural and Evolutionary Computing
To be published in G. Raidl and J. Gottlieb, editors, Evolutionary Computation in Combinatorial Optimization, Springer Lecture
Scientific paper
We show how an evolutionary algorithm can successfully be used to evolve a set of difficult to solve symmetric travelling salesman problem instances for two variants of the Lin-Kernighan algorithm. Then we analyse the instances in those sets to guide us towards deferring general knowledge about the efficiency of the two variants in relation to structural properties of the symmetric travelling sale sman problem.
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