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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2008.6
- 수록면
- 392 - 400 (9page)
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초록· 키워드
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This paper proposes a novel optimization algorithm inspired by bacteria behavior patterns for foraging. Most bacteria can trace attractant chemical molecules for foraging. This tracing capability of bacteria called chemotaxis might be optimized for foraging because it has been evolved for few millenniums. From this observation, we developed a new optimization algorithm based on the chemotaxis of bacteria in this paper. We first define behavior and decision rules based on the behavior patterns of bacteria and then devise an optimization algorithm with these behavior and decision rules. Generally bacteria have a quorum sensing mechanism that makes it possible to effectively forage, but we leave its implementation as a further work for simplicity. Thereby, we call our algorithm a simple bacteria cooperative optimization (BCO) algorithm. Our simple BCO is tested with four function optimization problems on various parameters of the algorithm. It was found from experiments that the simple BCO can be a good framework for optimization.
목차
Abstract
1. Introduction
2. Simple Bacteria Cooperative Optimization
3. Experimental Results
4. Conclusion
참고문헌
저자소개
참고문헌 (19)
참고문헌 신청
1. [단행본] - R. C. Eberhart / 2001 / Swarm Intelligence / Morgan Kaufmann
2. [단행본] - E. Bonabeau / 1999 / Swarm Intelligence: From Natural to Artificial Systems / Oxford University Press
3. [단행본] - L. N. de Castro / 2002 / Artificial Immune Systems: A New Computational Intelligence Approach / Oxford University Press
4. [학술지(정기간행물)] - D.B.Fogel / 1994 / An Introduction to Simulated Evolutionary Optimization / IEEE Transactions on Neural Networks 5 : 3 ~ 14
5. [학술지(정기간행물)] - W.-S. Jwo / 1999 / Large-scale optimal VAR planning by hybrid simulated annealing/genetic algorithm / International Journal of Electrical Power and Energy Systems 21 : 39 ~ 44
2. [단행본] - E. Bonabeau / 1999 / Swarm Intelligence: From Natural to Artificial Systems / Oxford University Press
3. [단행본] - L. N. de Castro / 2002 / Artificial Immune Systems: A New Computational Intelligence Approach / Oxford University Press
4. [학술지(정기간행물)] - D.B.Fogel / 1994 / An Introduction to Simulated Evolutionary Optimization / IEEE Transactions on Neural Networks 5 : 3 ~ 14
5. [학술지(정기간행물)] - W.-S. Jwo / 1999 / Large-scale optimal VAR planning by hybrid simulated annealing/genetic algorithm / International Journal of Electrical Power and Energy Systems 21 : 39 ~ 44
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