Camelia Chira

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A new model based on the robust Ant Colony System (ACS) is introduced. The proposed Sensitive ACS (SACS) model extends ACS using the sensitive reaction of ants to pheromone trails. Each ant is endowed with a pheromone sensitivity level allowing different types of responses to pheromone trails. The SACS model facilitates a good balance between search(More)
A well knownNP-hard problem called the Generalized Traveling Salesman Problem (GTSP) is considered. In GTSP the nodes of a complete undirected graph are partitioned into clusters. The objective is to find a minimum cost tour passing through exactly one node from each cluster. An exact exponential time algorithm and an effective meta-heuristic algorithm for(More)
The idea of sensitivity in ant colony systems has been exploited in hybrid ant-based models with promising results for many combinatorial optimization problems. Heterogeneity is induced in the ant population by endowing individual ants with a certain level of sensitivity to the pheromone trail. The variable pheromone sensitivity within the same population(More)
Systems composed of several interacting autonomous agents have a huge potential to efficiently address complex real-world problems. Usually agents communicate by directly exchanging information and knowledge about the environment. The aim of the paper is to develop a new computational model that endows agents with a supplementary interaction/search(More)
We describe an extension of P systems where each membrane has an associated control nucleus responsible with the generation of the rules to be applied in that membrane. The nucleus exports a set of rules which are applied in the membrane region (only for one step, but in the usual maximal-parallel way), then the rules are removed and a new iteration of this(More)