期刊
COMPUTERS AND ELECTRONICS IN AGRICULTURE
卷 68, 期 2, 页码 191-199出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2009.06.002
关键词
Crop planning; Multi-objective optimization; Constrained problem; Evolutionary algorithm
In this paper, we analyse multi-objective optimization problems and provide useful insights about solutions that are generated using population-based approaches. We formulate a crop-planning problem as a multi-objective optimization model and solve two different versions of the problem using three different optimization approaches. The approaches considered are: epsilon-constrained method, a well-known multi-objective evolutionary algorithm NSGAII and our proposed multi-objective constrained algorithm (MCA). We compare the performance of our algorithm with other two algorithms and analyse the solutions from decision-making point of view. Our algorithm delivers superior solutions to non-linear version of the crop-planning model. (C) 2009 Elsevier B.V. All rights reserved.
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