dc.contributor.author | Arkeman, Yandra | |
dc.contributor.author | Jong, Kenneth De | |
dc.date.accessioned | 2010-11-22T02:06:03Z | |
dc.date.available | 2010-11-22T02:06:03Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/41683 | |
dc.description.abstract | The objective of this research is to develop a multiobjective genetic algorithm, one type of evolutionary computation technique, for optimization of complex agroindustial system design problem. First, we focus our work to the development of the sequential multi-objective genetic algorithm and then we expand our work to see the feasibility of and do some experiments on parallel multi-objective genetic algorithm. The research results indicate that the genetic algorithms developed in this work outperform the traditional techniques such as genetic-lexicographic method. | id |
dc.publisher | IPB (Bogor Agricultural University) | |
dc.title | Development of Multiobjective Genetic Algorithms for Agri-Food Supply Chain Design by Considering Global Climate Change | id |
dc.title.alternative | Decision Support Systems for Agriculture and Agribusiness | id |
dc.title.alternative | AFITA 2010 International Conference, The Quality Information for Competitive Agricultural Based Production System and Commerce | id |