The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 조합 최적화 문제에 대한 메타 휴리스틱을 다룹니다. 그런 다음 메타 휴리스틱의 병렬화에 대해 논의하여 병렬 처리가 속도를 높일 뿐만 아니라 솔루션 품질도 향상시킬 수 있음을 보여줍니다. 마지막으로 조합 최적화에 대한 논의를 다음으로 확장합니다. 자율적인 분산 시스템, 말 자율적 분산 최적화. 이러한 개념은 네트워크 연결 시스템 아키텍처가 발전함에 따라 매우 중요해졌습니다.
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Morikazu NAKAMURA, Kenji ONAGA, "Parallel Meta-Heuristics and Autonomous Decentralized Combinatorial Optimization" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 1, pp. 48-54, January 2001, doi: .
Abstract: This paper treats meta-heuristics for combinatorial optimization problems. The parallelization of meta-heuristics is then discussed in which we show that parallel processing has possibility of not only speeding up but also improving solution quality. Finally we extend the discussion of the combinatorial optimization into autonomous decentralized systems, say autonomous decentralized optimization. This notion becomes very important with the advancement of the network-connected system architecture.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_1_48/_p
부
@ARTICLE{e84-a_1_48,
author={Morikazu NAKAMURA, Kenji ONAGA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Parallel Meta-Heuristics and Autonomous Decentralized Combinatorial Optimization},
year={2001},
volume={E84-A},
number={1},
pages={48-54},
abstract={This paper treats meta-heuristics for combinatorial optimization problems. The parallelization of meta-heuristics is then discussed in which we show that parallel processing has possibility of not only speeding up but also improving solution quality. Finally we extend the discussion of the combinatorial optimization into autonomous decentralized systems, say autonomous decentralized optimization. This notion becomes very important with the advancement of the network-connected system architecture.},
keywords={},
doi={},
ISSN={},
month={January},}
부
TY - JOUR
TI - Parallel Meta-Heuristics and Autonomous Decentralized Combinatorial Optimization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 48
EP - 54
AU - Morikazu NAKAMURA
AU - Kenji ONAGA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2001
AB - This paper treats meta-heuristics for combinatorial optimization problems. The parallelization of meta-heuristics is then discussed in which we show that parallel processing has possibility of not only speeding up but also improving solution quality. Finally we extend the discussion of the combinatorial optimization into autonomous decentralized systems, say autonomous decentralized optimization. This notion becomes very important with the advancement of the network-connected system architecture.
ER -