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C. FERREIRA |
In J. M. Santos and A. Zapico, eds., Proceedings of the Argentine Symposium on Artificial Intelligence, pages 160-174, Santa Fe, Argentina, 2002.
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Combinatorial Optimization by Gene Expression Programming: Inversion Revisited
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Using Inversion to Solve Scheduling Problems |
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The first problem of this section is the already mentioned TSP with 19 cities. And it has already been shown that this problem requires only a multigene family consisting of the genes representing the 19 cities the salesperson should visit.
The second problem is a task assignment problem and requires two different multigene families, one containing the agents and the other the tasks assigned to the agents.
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