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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.13, No.2
- 발행연도
- 2006.6
- 수록면
- 29 - 39 (11page)
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초록· 키워드
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There has been a tremendous need for dual homing cell switch assignment problems where calling volume and patterns are different at different times of the day. This problem of assigning cells to switches in the planning phase of mobile networks consists in finding an assignment plan which minimizes the communication costs taking into account some constraints such as capacity of switches. This optimization problem is known to be difficult to solve, such that heuristic methods are usually utilized to find good solutions in a reasonable amount of time. In this paper, we propose an evolutionary approach, based on the genetic algorithm paradigm, for solving this problem. Simulation results confirm the appropriateness and effectiveness of this approach which yields solutions of good quality.
목차
Abstract
1. 서론
2. 문제 정의
3. 유전자 알고리듬
4. 실험 및 분석
5. 결론
참고문헌
저자소개
참고문헌 (12)
참고문헌 신청
[학술지(정기간행물)] - / 1985 / Applying Adaptive Algorithms to Epistatic Domains : 162 ~ 164
[학술지(정기간행물)] - / 1979. / Computers and Intractability：A Guide to the Theory of NP-Completeness
[학술지(정기간행물)] - / 1985 / Proceedings of the First International Conference on Genetic Algorithms : 154 ~ 159
[학술지(정기간행물)] - / 2003 / A Genetic Algorithm for Assigning Cells to Swit-ches in Personal Comunication Net-works : 21 ~ 24
[학술지(정기간행물)] - / 1975. / Adaptation in Natural and Artificial Systems The University of Michigan Press
[학술지(정기간행물)] - / 1979. / Computers and Intractability：A Guide to the Theory of NP-Completeness
[학술지(정기간행물)] - / 1985 / Proceedings of the First International Conference on Genetic Algorithms : 154 ~ 159
[학술지(정기간행물)] - / 2003 / A Genetic Algorithm for Assigning Cells to Swit-ches in Personal Comunication Net-works : 21 ~ 24
[학술지(정기간행물)] - / 1975. / Adaptation in Natural and Artificial Systems The University of Michigan Press
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