Title
Analytical Modeling of a Parallel Branch-and-Bound Algorithm on MIN-Based Multiprocessors
Abstract
The authors propose a parallel decomposite, best-first' search branch-and bound algorithm for MIN-based multiprocessors. They start with a new probabilistic model to estimate the number of evaluated nodes for a serial algorithm. The proposed algorithm initially decomposes a problem into several subproblems. Each processor executes the serial best-first search to find a local feasible solution. The local solutions are broadcast through the network to compute the final solution. The speed-up analysis considers both the computation and communication overheads. It is seen that the parallel decomposite best-first search algorithm performs better than other reported schemes when communication overhead is taken into consideration.
Year
DOI
Venue
1992
10.1109/IPPS.1992.223037
Beverly Hills, CA
Keywords
Field
DocType
serial algorithm,local solution,final solution,parallel decomposite best-first search,serial best-first search,communication overhead,parallel decomposite,proposed algorithm,analytical modeling,parallel branch-and-bound algorithm,min-based multiprocessors,branch-and bound algorithm,local feasible solution,linear programming,search algorithm,algorithm design and analysis,best first search,computer networks,broadcasting,branch and bound algorithm,probabilistic model,computer architecture,parallel algorithms
Branch and bound,Search algorithm,Min-conflicts algorithm,Parallel algorithm,Computer science,Parallel computing,Beam search,Local search (optimization),Binary search algorithm,Best-first search
Conference
ISBN
Citations 
PageRank 
0-8186-2672-0
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Myung K. Yang131.33
Chita R. Das225828.49