Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
85498 | Computers and Electronics in Agriculture | 2009 | 9 Pages |
Abstract
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: ɛ-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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ruhul Sarker, Tapabrata Ray,