MCQs – Search algorithms and dynamic load balancing for discrete optimization

By: Prof. Dr. Fazal Rehman | Last updated: May 6, 2025

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1. : What is the primary goal of search algorithms in discrete optimization within Parallel and Distributed Computing?



2. : Which search algorithm is commonly used for discrete optimization problems in a parallel setting?



3. : What is dynamic load balancing in the context of parallel computing for discrete optimization?



4. : Which factor is critical for the effectiveness of dynamic load balancing in parallel discrete optimization?



5. : In the context of parallel discrete optimization, what is a potential drawback of using a centralized search algorithm?



6. : Which technique is commonly employed to address the challenge of load imbalance in distributed computing environments?



7. : What is a key advantage of using a hybrid approach that combines both local and global search algorithms in parallel discrete optimization?



8. : Which load balancing strategy aims to evenly distribute the computational load based on the historical performance of processors in discrete optimization?



 

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