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Improved differential evolution algorithms for solving multi-stage crop planning model in southern region of Thailand.
- Source :
-
Songklanakarin Journal of Science & Technology . Sep/Oct2019, Vol. 41 Issue 5, p1116-1123. 8p. - Publication Year :
- 2019
-
Abstract
- This paper presents algorithms based on Differential Evolution and Improved Differential Evolution for solving a multi-stage crop planning problem in southern region of Thailand to maximize the profit. Four types of algorithms were tested: 1) Differential Evolution (DE), 2) Differential Evolution with local search by adding the step of local search after the selection process, which used insert algorithm (DE-I), 3) Random best of Differential Evolution improved by mutations (DE-R), 4) Random best of Differential Evolution with local search as a mixture of types 2 and 3 (DE-IR). The results show that with small problem instances all the algorithms found a 100% optimal solution. In medium and large problem instances DE-IR shown the best solutions among the proposed algorithms. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DIFFERENTIAL evolution
*ALGORITHMS
*CROPS
Subjects
Details
- Language :
- English
- ISSN :
- 01253395
- Volume :
- 41
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Songklanakarin Journal of Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 139551823