Ant colony optimization for SONET ring loading problem

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14
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SCOPUS

17

초록

The SONET ring loading problem is a combinatorial optimization problem and is known to be NP-hard. The meta-heuristic method of ant colony optimization is a method of obtaining best/optimal solution, to NP-hard optimization problems. Hence, in this paper, we present, an ant colony system (ACS) for an effective search of the best/optimal routing of demands under a dynamic environment. Our simulation results show that this methodology is successful in finding the best/optimal routing of demands in a SONET ring. Three strategies A CS with only ranking, A CS with only MMAS, and ACS with both ranking and MMAS are considered. A comparison of these strategies are presented to show the performance of each strategy.

키워드

ant colony optimization; load balancing; SONET ring; routing; GENETIC ALGORITHMS; BALANCING LOADS; SYSTEM
제목
Ant colony optimization for SONET ring loading problem
저자
Kim, Sung Soo; Kim, Il-Hwan; Mani, V.; Kim, Hyung Jun
발행일
2008-07
유형
Article
저널명
International Journal of Innovative Computing, Information and Control
권
4
호
7
페이지
1617 ~ 1626