When solving optimization problems, parallelizing associated computer algorithms may result in more efficient, and possibly more effective, implementations. This is primarily due to the increased number of processors (and local memories) working on the problem, thus allowing investigation of more of the solution space in a given time period.
KeywordsParallel Implementation Objective Function Evaluation Interprocessor Communication Numeric Optimization Problem Slave Processor
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