Browse > Article
http://dx.doi.org/10.5389/KSAE.2011.53.6.093

An Optimum Light Environment Design of Double-Stack Bed System by using Genetic Algorithms  

Kim, Kee-Sung (School of Mechanical and Aerospace Engineering, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.53, no.6, 2011 , pp. 93-100 More about this Journal
Keywords
Multi-stack bed system; natural light environment; optimum design; genetic algorithm;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Goldberg D. G., B. Korb, and K. Deb, 1989. Messy genetic algorithms: motivation, analysis, and first results. Complex System, 4: 415-444.
2 Holland J. H., 1975. Adaptation in natural and artificial systems. Ph. D. diss., Ann Arbor, MI, USA.: The University of Michigan.
3 Kreith F.,and J. F. Kreider, 1978. Principles of solar engineering. McGraw-Hill, New York, NY.
4 Korner O., and G. Van Straten, 2008. Decision support for dynamic greenhouse climate control strategies. Computer and Electromics in Agriculture, 60: 18-30.   DOI
5 Langhans R. W., 1990. Greenhouse management. Halcyon press Ltd. pp. 33-45, Houston,USA.
6 Parry J. T., and C. M. Gold, 1972. Solar-altitude nomogram. Photogrammetric Engineering 38: 891-899.
7 Seginer I. G. Shina, L. D., Albright, and L., S., Mash, 1991. Optimal temperature setpoints for greenhouse lettuce. Journal of Agricultural Engineering Research 49: 209-226.   DOI
8 Sigrimis N. A. Anastasiou, and N. Rerras, 2000, Energy saving in greenhouses using temperature integration: a simulation survey. Computers and Electronics in Agriculture, 26: 321-341.   DOI
9 Campbell G. S., and J. M., Norman, 1998. An introduction to environmental biophysics. Springer, New York, USA