From Natural to Artificial Swarm Intelligence
From Natural to Artificial Swarm Intelligence
Algorithm Design
An Improved Ant Colony Optimization for the Maximum Clique Problem
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
Searching for maximum cliques with ant colony optimization
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
A note on the learning automata based algorithms for adaptive parameter selection in PSO
Applied Soft Computing
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Interaction between users in online social networks plays a key role in social network analysis. One on important types of social group is full connected relation between some users, which known as clique structure. Therefore finding a maximum clique is essential for some analysis. In this paper, we proposed a new method using ant colony optimization algorithm and particle swarm optimization algorithm. In the proposed method, in order to attain better results, it is improved process of pheromone update by particle swarm optimization. Simulation results on popular standard social network benchmarks in comparison standard ant colony optimization algorithm are shown a relative enhancement of proposed algorithm.