Azala

Efficiency analysis of parallel swarm intelligence using rapid range search in Euclidean space

Gorde:
Argitaratua izan da:International Journal of Electronics and Telecommunications vol. 71, no. 1 (2025), p. 31
Egile nagusia: Michalski, Łukasz
Beste egile batzuk: Sołtysik, Andrzej, Woda, Marek
Argitaratua:
Polish Academy of Sciences
Gaiak:
Central processing units > CPUs
Algorithms
Swarm intelligence
Graphics processing units
Euclidean geometry
Optimization
Efficiency
Simulation
Behavior
Euclidean space
Animation
Robotics
Sarrera elektronikoa:Citation/Abstract
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Laburpena:Swarm intelligence algorithms are widely recognized for their efficiency in solving complex optimization problems. However, their scalability poses challenges, particularly with large problem instances. This study investigates the time performance of swarm intelligence algorithms by leveraging parallel computing on both central processing units (CPUs) and graphics processing units (GPUs). The focus is on optimizing algorithms designed for range search in Euclidean space to enhance GPU execution. Additionally, the study explores swarm-inspired solutions specifically tailored for GPU implementations, emphasising improving efficiency in video rendering and computer simulations. The findings highlight the potential of GPU-accelerated swarm intelligence solutions to address scalability challenges in large-scale optimization, offering promising advancements in the field.
ISSN:2081-8491
2300-1933
0035-9386
0867-6747
DOI:10.24425/ijet.2025.153541
Baliabidea:Advanced Technologies & Aerospace Database