Improved differential evolution algorithms for solving multi-stagecrop planning model in southern region of Thailand
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Creator 1. Phajongjit Pijitbanjong
2. Raknoi Akararungruangkul
3. Rapeepan Pitakaso
4. Kanchana Sethanan
Title Improved differential evolution algorithms for solving multi-stagecrop planning model in southern region of Thailand
Publisher Research and Development Office, Prince of Songkla University
Publication Year 2562
Journal Title Songklanakarin Journal of Science and Technology
Journal Vol. 41
Journal No. 5
Page no. 1116-1123
Keyword differential evolution, improved differential evolution, crop planning model
URL Website http://rdo.psu.ac.th/sjstweb/index.php
ISSN 0125-3395
Abstract This paper presents algorithms based on Differential Evolution and Improved Differential Evolution for solving a multistage 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 ofDifferential Evolution with local search as a mixture of types 2 and 3 (DE-IR). The results show that with small problem instancesall the algorithms found a 100% optimal solution. In medium and large problem instances DE-IR shown the best solutions amongthe proposed algorithms.
Songklanakarin Journal of Science and Technology (SJST)

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