Efficiency analysis of parallel swarm intelligence using rapid range search in Euclidean space
সংরক্ষণ করুন:
| প্রকাশিত: | International Journal of Electronics and Telecommunications vol. 71, no. 1 (2025), p. 31 |
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| প্রধান লেখক: | |
| অন্যান্য লেখক: | , |
| প্রকাশিত: |
Polish Academy of Sciences
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | Citation/Abstract Full Text - PDF |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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MARC
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| 001 | 3194204954 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2081-8491 | ||
| 022 | |a 2300-1933 | ||
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| 024 | 7 | |a 10.24425/ijet.2025.153541 |2 doi | |
| 035 | |a 3194204954 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 190537 |2 nlm | ||
| 100 | 1 | |a Michalski, Łukasz | |
| 245 | 1 | |a Efficiency analysis of parallel swarm intelligence using rapid range search in Euclidean space | |
| 260 | |b Polish Academy of Sciences |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Central processing units--CPUs | ||
| 653 | |a Algorithms | ||
| 653 | |a Swarm intelligence | ||
| 653 | |a Graphics processing units | ||
| 653 | |a Euclidean geometry | ||
| 653 | |a Optimization | ||
| 653 | |a Efficiency | ||
| 653 | |a Simulation | ||
| 653 | |a Behavior | ||
| 653 | |a Euclidean space | ||
| 653 | |a Animation | ||
| 653 | |a Robotics | ||
| 700 | 1 | |a Sołtysik, Andrzej | |
| 700 | 1 | |a Woda, Marek | |
| 773 | 0 | |t International Journal of Electronics and Telecommunications |g vol. 71, no. 1 (2025), p. 31 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3194204954/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3194204954/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |