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A Clustering Algorithm Based on Multi-agent Meta-heuristic Architecture
2014
International Journal of Hybrid Information Technology
A clustering algorithm is proposed in this paper, which is based on discussion of multiagent meta-heuristic architecture of the ant colony optimization algorithm. The multi-agent architecture of ant colony optimization meta-heuristic includes three levels. Level-0 agents build solutions, level-l agents improve solutions and level-2 agents update pheromone matrix. The updated pheromone then provides feedback information for the next iteration of solution construction. Mutation probability p and
doi:10.14257/ijhit.2014.7.2.21
fatcat:5x3pjv2livcxzfefk3ejmv77be