SONGKLANAKARIN JOURNAL OF SCIENCE & TECHNOLOGY

Volume 41, No. 05, Month SEPTEMBER, Year 2019, Pages 1116 - 1123

Improved differential evolution algorithms for solving multi-stage crop planning model in southern region of thailand

Phajongjit Pijitbanjong, Raknoi Akararungruangkul, Rapeepan Pitakaso, Kanchana Sethanan

Abstract Download PDF

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 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.

Keywords

differential evolution, improved differential evolution, crop planning model

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