Modified Approach for Solving Maximum Clique Problem
نویسنده
چکیده
1.1 Maximum Clique Problem Assume that the finite undirected simple graph is given, where V is the set of nodes, E is the set of edges. The arbitrary full graph is called a clique. The clique, which does not contain other cliques, is called a maximal Clique. The largest maximal clique is called a maximum clique. To extract all maximal cliques from the graph G. Many algorithms have been described to solve this problem. The best solution now a days is a procedure where the complexity is linear to the number of maximal cliques [1,2]. The theory and algorithms described in this paper can solve the problem. We assume that the graph G is presented in the form of an
منابع مشابه
A Maximum Edge-weight Clique Finding Algorithmic Approach for Solving Protein Side-chain Positioning Problem
We have developed a novel approach to solve the protein side-chain packing problem using the notion of a maximum edge-weight clique. Our approach is based on efficient reduction of protein side-chain packing problem to a graph and then solving the reduced graph to find the maximum clique. Since our approach is based on deterministic algorithms in contrast to the various existing algorithms base...
متن کاملExtending Bron Kerbosch for Solving the Maximum Weight Clique Problem
This contribution extends the Bron Kerbosch algorithm for solving the maximum weight clique problem, where continuous-valued weights are assigned to both, vertices and edges. We applied the proposed algorithm to graph matching problems.
متن کاملFaster Branch and Bound Algorithms for Solving the Maximum Clique Problem
We present efficient branch and bound algorithms for solving the Maximum Clique Problem. First strategy is to store the size of clique consisting of a seed vertex in a subset induced by candidate set of the seed vertex. Results stored are further used to reduce the computation involved in computing clique consisting of other seed vertices in another subset of the graph. This approach along with...
متن کاملSolving the maximum vertex weight clique problem via binary quadratic programming
In recent years, the general binary quadratic programming (BQP) 7 model has been widely applied to solve a number of combinatorial optimiza8 tion problems. In this paper, we recast the maximum vertex weight clique 9 problem (MVWCP) into this model which is then solved by a Probabilistic 10 Tabu Search algorithm designed for the BQP. Experimental results on 80 chal11 lenging DIMACS-W and 40 BHOS...
متن کاملSolving the maximum clique problem using a tabu search approach
We describe two variants of a tabu search heuristic, a deterministic one and a probabilistic one, for the maximum clique problem. This heuristic may be viewed as a natural alternative implementation of tabu search for this problem when compared to existing ones. We also present a new random graph generator, the/S-generator, which produces graphs with larger clique sizes than comparable ones obt...
متن کامل