Approximating clique is almost NP-complete (preliminary version)
SFCS '91 Proceedings of the 32nd annual symposium on Foundations of computer science
Multicluster, mobile, multimedia radio network
Wireless Networks
Clique is hard to approximate within n1-
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
A discrete adaptive stochastic neural model for constrained optimization
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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A distributed algorithm to find a maximal independent set of an undirected graph is proposed. It is borrowed by a centralized one and it is based on a sequence of Hopfield neural networks. We refer to the synchronous model of distributed computation in which the topology is described by the graph. We give an upper bound on the number of messages sent during the entire process of computation.To test the algorithm we experimentally compare it with a probabilistic heuristic derived by Ant Colony Optimization technique and with the standard greedy algorithm.