2018년도 인터넷정보학회 추계학술발표대회
Current Result Document : 4 / 4
| 한글제목(Korean Title) |
하이브리드 분해 및 병렬 다목적 particle swarm optimization 알고리즘 |
| 영문제목(English Title) |
A Hybrid Decomposition and Parallel Multi-Objective Particle Swarm Optimization Algorithm |
| 저자(Author) |
판더빈
이재완
덩창서
탄쉬지에
리리시엔
Debin Fan
Jaewan Lee
Changshou Deng
Xujie Tan
Lixian Li
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| 원문수록처(Citation) |
VOL 19 NO. 02 PP. 0305 ~ 0306 (2018. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
How to achieve Multi-Objective optimization has always been the focus of research, this paper proposes a hybrid decomposition and parallel multi-objective particle swarm optimization algorithm. The algorithm uses Chebyshev decomposition method to an aggregate multi-objective problem into several single-objective problems, and improves the velocity and position updating formula of each single-target problem particle, also improves the efficiency of algorithm search to Pareto solution set. At the same time, it accelerates the process under the distributed computing framework and achieves good results. By verifying the performance of a series of two target test functions, the validity of the algorithm is proved. This algorithm provides a new method for solving Multi-Objective optimization problems. |
| 키워드(Keyword) |
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| 파일첨부 |
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