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Application of Genetic Algorithm to Derive an Optimal Cropping Pattern, in Part of Hirakud Command

机译:遗传算法在Hirakud命令的一部分中衍生出最佳裁剪模式的应用

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Proper management with available limited water resources is to be given top priority to meet the threat of food security due to increase in population. Establishment of a new major irrigation project is a challenging task due to social, environmental and other multiple causes. The present study is conducted on Senhapali Canal, a distributary of Hirakud system in Sambalpur District of Odisha State, India, which is very close to Hirakud Dam over River Mahanadi. In the present work, experiments are conducted to develop a suitable cropping pattern through optimization techniques like LINDO and Genetic Algorithm. The developed cropping pattern gives net returns of Rs. 585 lakhs while using LINDO and Rs. 590.07 lakhs if GA is used. Hence, the cropping pattern obtained by using Genetic Algorithm may be adopted by the farmer to get more net returns than the existing one adopted by farmers.
机译:由于人口增加,有适当的管理有可用有限的水资源的最优先考虑符合粮食安全威胁。建立一个新的主要灌溉项目是由于社会,环境和其他多种原因导致的具有挑战性的任务。本研究在印度奥迪沙州萨巴尔普州桑巴尔州区的普拉库德系统的分布式上进行,这非常靠近Hirakud大坝在河河Mahanadi。在本工作中,通过Lindo和遗传算法等优化技术进行实验以开发合适的种植模式。发达的裁剪模式提供了净返回。使用林多和卢比时585卢比。如果使用ga,则590.07 lakhs。因此,通过使用遗传算法获得的种植模式可以由农民采用比农民所采用的现有人获得更多的净回报。

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