Abstract
In order to improve the efficiency of bio-inspired metaheuristic is described a technique called inner rule introduced in [196] . The aim of inner rule is to modify the pheromone trails on all edges of the unvisited neighbors of current node while searching the next node in a tour. The updating rule leads to a higher probability of reaching an optimal tour. All the neighbors of a current node are candidates for the tour solution, that it is why it is proposed a inner rule for update the pheromone trail on all trails of the possible candidates.
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© 2014 Springer-Verlag Berlin Heidelberg
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Pintea, CM. (2014). Local Guided Ant Search. In: Advances in Bio-inspired Computing for Combinatorial Optimization Problems. Intelligent Systems Reference Library, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40179-4_4
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DOI: https://doi.org/10.1007/978-3-642-40179-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40178-7
Online ISBN: 978-3-642-40179-4
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