Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Chipmaker Advanced Micro Devices Inc. said today it has snapped up the flash memory optimization startup Mext Corp. in an effort to help its customers solve their growing headaches around memory ...
Abstract: In this paper, we propose a full-duplex integrated sensing and communication (ISAC) system enabled by a movable antenna (MA). By leveraging the characteristic of MA that can increase the ...
A Consensus-Based Particle Swarm Optimization Algorithm for Distributed Multi-Objective Optimization
Abstract: Distributed optimization has been extensively studied in the past decades due to its wide applications. Most of them aim to optimizing single-objective function. However, in real-world ...
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