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Computational experiments on 72 problem instances demonstrate the computational viability of our new procedure.
These computational results over 580 instances demonstrate the effectiveness of our approach.
Numerical experiments on randomly generated instances demonstrate the effectiveness of the method.
Extensive experimental trials on benchmark instances demonstrate a significant decrease in instance size for certain classes of problems.
Computational experiments on real-world sized test instances demonstrate the efficiency and effectiveness of the proposed approach.
Numerical experiments on randomly generated instances demonstrate the necessity of the proxy phase and the effectiveness of the clock-proxy exchange.
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Each worker can have multiple instances demonstrating the scalability and burst capability of a cloud-based architecture.
An extensive computational analysis over a diverse family of problem data instances demonstrates the efficacy of the novel approaches and algorithms introduced in this paper.
The experimental results on well-known benchmark problems ranging from 5 to 15 objectives show that MOEA/D-HSE significantly outperforms other peer algorithms on the vast majority of the test instances, demonstrating the effectiveness and competitiveness of the proposed operator.
Apart from these reports, there have been various instances demonstrating that these pathways potentiate the effect of each other.
This technique has been successful in multiple instances, demonstrating the relevance of gene conservation patterns (Kensche et al. 2008).
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CEO of Professional Science Editing for Scientists @ prosciediting.com