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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.

Combinatorial Optimization by Gene Expression Programming: Inversion Revisited

Using Inversion to Solve Scheduling Problems
 

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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