Abstract
The uniform graph partitioning problem can be described as partitioning the nodes of a graph into two sets of equal size to minimize the sum of the cost of arcs having end-points in different sets. This problem has important applications in VLSI design, computer compiler design, and in placement and layout problems. The problem is known to be NP-complete. In this paper we propose a new heuristic procedure for solving the graph partitioning problem. This heuristic is based on a genetic algorithm with features tailored for solving the graph partitioning problem. We also summarize a technique for obtaining good bounds for this problem, and compare and analyse the results from new as well as existing graph partitioning heuristics.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
