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Use of concurrent processing with the adaptive complex method for global optimization of large dynamic systems

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2 Author(s)
Manetsch, Thomas J. ; Michigan State Univ., East Lansing, MI, USA ; Cabrera, A.D.

A modified version of the adaptive complex method for global optimization is described that parallelizes a procedure that is computationally serial in nature. The modified method assigns n p processors for parallel execution. Simulation tests and an implementation with parallel hardware indicate that speed-up factors with the modified method are nearly linear with np up to about 0.1k where k is the number of vertices in the optimizing complex. Since k increases linearly with problem size, the modified method can significantly reduce computation times for large optimization problems

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:21 ,  Issue: 2 )