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논문 기본 정보

자료유형
학술저널
저자정보
Joo-Young Son (한국해양대학교) Jae-Hwan Kim (한국해양대학교)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제35권 제3호
발행연도
2011.5
수록면
341 - 347 (7page)

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The redundancy allocation problem (RAP) is a famous NP?complete problem that has been studied in the system reliability area of ships and airplanes. Recently meta?heuristic techniques have been applied in this topic, for example, genetic algorithms, simulated annealing and tabu search. In particular, tabu search (TS) has emerged as an efficient algorithmic approach for the series?parallel RAP. However, the quality of solutions found by TS depends on the initial solution. As a robust and efficient methodology for the series?parallel RAP, the hybrid metaheuristic (TSA) that is a interactive procedure between the TS and SA (simulated annealing) is developed in this paper. In the proposed algorithm, SA is used to find the diversified promising solutions so that TS can re?intensify search for the solutions obtained by the SA. We test the proposed TSA by the existing problems and compare it with the SA and TS algorithm. Computational results show that the TSA algorithm finds the global optimal solutions for all cases and outperforms the existing TS and SA in cases of 42 and 56 subsystems.

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Abstract
1. Introduction
2. Problem Formulation
3. Hybrid metaheuristic : TSA
4. Computational experience
5. Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2013-559-000638183