To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in ...

Description: Theory and applications of multiple objective optimization and multiple criteria decision making. Existence and specification of single and multiple attributive value and utility ...

Why AI is becoming ldquo;native rdquo; to 5G/6G networks The evolution from 5G to 6G networks represents a dramatic leap in complexity that fundamentally challenges traditional network management ...

There have been extensive discussions and reflections on central banking since the outbreak of the global financial crisis (GFC). Country circumstances differ, but there are also a number of issues ...