Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem
Crop planning problem is a multi-objective optimization problem. It is related to many factors such as land type, capital, demand etc. From very earlier years, people have been trying to find out a best solution for crop planning to get more profit in exchange of less investment and cost. In this p...
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Asian Research Publishing Network
2016
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| Online Access: | http://irep.iium.edu.my/56519/ http://irep.iium.edu.my/56519/ http://irep.iium.edu.my/56519/1/56519_Multi-objective%20constrained%20algorithm%20%28MCA%29_Scopus.pdf http://irep.iium.edu.my/56519/2/56519_Multi-objective%20constrained%20algorithm%20%28MCA%29.pdf |
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iium-565192017-04-17T01:24:35Z http://irep.iium.edu.my/56519/ Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem Jarin, Sams Khatun, Mst Khaleda Shafie, Amir Akramin TJ Mechanical engineering and machinery Crop planning problem is a multi-objective optimization problem. It is related to many factors such as land type, capital, demand etc. From very earlier years, people have been trying to find out a best solution for crop planning to get more profit in exchange of less investment and cost. In this paper, we formulate a crop planning problem as a multiobjective optimization model and try to solve two different versions of the problem using two different optimization algorithms MCA and NSGA. In this two algorithms, they provide superior solutions to maximize total net benefit and minimize total cost. We investigate these algorithms here as a linear crop planning model and use them to acquire the maximum total gross margin according with minimum total working capital in order to satisfy some constraints. We also compare the performance of these two algorithms and analyse the solution from the decision-making point of view. Asian Research Publishing Network 2016-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56519/1/56519_Multi-objective%20constrained%20algorithm%20%28MCA%29_Scopus.pdf application/pdf en http://irep.iium.edu.my/56519/2/56519_Multi-objective%20constrained%20algorithm%20%28MCA%29.pdf Jarin, Sams and Khatun, Mst Khaleda and Shafie, Amir Akramin (2016) Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 4079-4086. ISSN 1819-6608 http://www.arpnjournals.com/jeas/volume_06_2016.htm |
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Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
| language |
English English |
| topic |
TJ Mechanical engineering and machinery |
| spellingShingle |
TJ Mechanical engineering and machinery Jarin, Sams Khatun, Mst Khaleda Shafie, Amir Akramin Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem |
| description |
Crop planning problem is a multi-objective optimization problem. It is related to many factors such as land type,
capital, demand etc. From very earlier years, people have been trying to find out a best solution for crop planning to get more profit in exchange of less investment and cost. In this paper, we formulate a crop planning problem as a multiobjective optimization model and try to solve two different versions of the problem using two different optimization algorithms MCA and NSGA. In this two algorithms, they provide superior solutions to maximize total net benefit and minimize total cost. We investigate these algorithms here as a linear crop planning model and use them to acquire the maximum total gross margin according with minimum total working capital in order to satisfy some constraints. We also compare the performance of these two algorithms and analyse the solution from the decision-making point of view. |
| format |
Article |
| author |
Jarin, Sams Khatun, Mst Khaleda Shafie, Amir Akramin |
| author_facet |
Jarin, Sams Khatun, Mst Khaleda Shafie, Amir Akramin |
| author_sort |
Jarin, Sams |
| title |
Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem |
| title_short |
Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem |
| title_full |
Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem |
| title_fullStr |
Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem |
| title_full_unstemmed |
Multi-objective constrained algorithm (MCA) and non-dominated sorting genetic algorithm (NSGA-ii) for solving multi-objective crop planning problem |
| title_sort |
multi-objective constrained algorithm (mca) and non-dominated sorting genetic algorithm (nsga-ii) for solving multi-objective crop planning problem |
| publisher |
Asian Research Publishing Network |
| publishDate |
2016 |
| url |
http://irep.iium.edu.my/56519/ http://irep.iium.edu.my/56519/ http://irep.iium.edu.my/56519/1/56519_Multi-objective%20constrained%20algorithm%20%28MCA%29_Scopus.pdf http://irep.iium.edu.my/56519/2/56519_Multi-objective%20constrained%20algorithm%20%28MCA%29.pdf |
| first_indexed |
2023-09-18T21:19:45Z |
| last_indexed |
2023-09-18T21:19:45Z |
| _version_ |
1777411802160693248 |