A Parallel Interval Computation Model for Global Optimization with Automatic Load Balancing

Abstract

In this paper, we propose a decentralized parallel computation model for global optimization using interval analysis. The model is adaptive to any number of processors and the workload is automatically and evenly distributed among all processors by alternative message passing. The problems received by each processor are processed based on their local… (More)
DOI: 10.1007/s11390-012-1260-x

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@article{Wu2012API, title={A Parallel Interval Computation Model for Global Optimization with Automatic Load Balancing}, author={Yong Wu and Arun Kumar}, journal={Journal of Computer Science and Technology}, year={2012}, volume={27}, pages={744-753} }