Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Parallel simulated annealing on a message-passing multi-computer
Parallel simulated annealing on a message-passing multi-computer
Parallel programming with MPI
The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)
Proceedings of the 40th Conference on Winter Simulation
Optimal generation expansion planning via the cross-entropy method
Winter Simulation Conference
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The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are highly complex and can take weeks or even longer to solve using current optimization techniques. This paper presents a general method for designing parallel CE algorithms for Multiple Instruction Multiple Data (MIMD) distributed memory machines using the Message Passing Interface (MPI) library routines. We provide examples of its performance for two well-known test-cases: the (discrete) Max-Cut problem and (continuous) Rosenbrock problem. Speedup factors and a comparison to sequential CE methods are reported.