A fast parallel algorithm for the maximal independent set problem
Journal of the ACM (JACM)
A fast and simple randomized parallel algorithm for the maximal independent set problem
Journal of Algorithms
A new parallel algorithm for the maximal independent set problem
SIAM Journal on Computing
Constructing a maximal independent set in parallel
SIAM Journal on Discrete Mathematics
Information Processing Letters
An efficient parallel algorithm that finds independent sets of guaranteed size
SIAM Journal on Discrete Mathematics
A New Technique for Optimization Problems in Graph Theory
IEEE Transactions on Computers
On maximum clique problems in very large graphs
External memory algorithms
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Approximation algorithms for combinatorial problems
Journal of Computer and System Sciences
Approximating maximum clique with a Hopfield network
IEEE Transactions on Neural Networks
A general method of mining Chinese web documents based on GA&SA and position-factors
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Hi-index | 0.00 |
The maximum independent set problem is a classic graph optimization problem. It is well known that it is an NP-Complete problem. In this paper, an improved simulated annealing algorithm is presented for the maximum independent set problem. In this algorithm, an acceptance function is defined for every vertex. This can help the algorithm find a near optimal solution to a problem. Simulations are performed on benchmark graphs and random graphs. The simulation results show that the proposed algorithm provides a high probability of finding optimal solutions.